Methods Patients and data collection This was a prospective study of sexual function ICG-001 among breast cancer patients attending the Cancer Institute in Tehran, Iran. Patients were

check details included in the study if they had confirmed diagnosis of breast cancer (any stages), were married and sexually active. Patients were assessed at two points in time: once before surgery and once after surgery and completion of adjuvant treatment (usually 3 months after chemotherapy or radiotherapy at first follow-up visits). Demographic and clinical data were collected at baseline and a sexual functioning questionnaire was completed for each patient at pre-and post-treatment assessments. Sexual function Sexual function was assessed using the Female Sexual Function Index (FSFI). The FSFI is a 19-itmes questionnaire that contains six subscales: sexual desire, arousal, lubrication, orgasm, satisfaction and pain. It provides a score for each subscale as well as a total RG-7388 price score for the whole questionnaire. The total score ranges from 2 to 36

with higher scores indicating a better sexual function [15]. We used the Iranian version of the questionnaire. The psychometric properties of the Iranian version are well documented. The cut-off point for sexual disorder for Iranian females was found to be 28 [16]. Statistical analysis The analysis was restricted to patients for whom both pre-and post-treatment data were available. In addition to descriptive statistics, paired sample t-test was used to compare sexual function before and after treatment.

Relative to cut-off point on the FSFI (less than 28 versus 28 or above), patients with and without sexual disorders at post-treatment Adenosine triphosphate were indicated and the contribution of demographic and clinical factors to sexual disorder was investigated by performing both univariate and multiple logistic regression analyses. Ethics The ethics committee of Tehran University of Medical Sciences approved the study. All patients gave their written informed consent. Results In all 277 patients with breast cancer were approached. Of these 231 patients (83%) were sexually active and were included in the study. Since 15 patients did not complete the questionnaire at follow-up due to dislike, the data for 216 patients (93.5% of sexually active patients) were available for both pre-and post-treatment evaluations. There were no significant score differences on the FSFI between those who did not participate at follow-up assessment and the rest of patients (n = 216) at baseline (the results are not show and is available from the corresponding authors). The characteristics of patients and the mean duration follow-up (time interval between pre- and post-treatment evaluations) are presented in Table 1. Table 1 The characteristics of the study sample (n = 216)     No. % Demographic status       Age         ≤ 40       41-45 45 20.8   46-50 51 23.6   51-55 47 21.8   56 ≥ 32 14.8   Mean (SD) 44.3 (8.

Preparation of Akt inhibitor N-doped mesoporous TiO2 nanorods Typically, 5 mL of tetrabutyl titanate (TBOT), 30 mL of ethanol, and certain ammonium nitrate were mixed together in the reaction flask of the rotary evaporator, and ten agate granules with a diameter of about 1 cm were added into the system for better stirring. The rotary evaporator was turned on and the system was maintained at 25°C. In the mean time, an air blower connected with a round bottom flask containing some deionized

water was turned on to transport air at a rate of 40 L min-1. A small amount of water vapor was carried into the reaction flask with air to react with the TBOT. Fludarabine in vitro The TBOT solution was hydrolyzed slowly to form a cream color emulsion. Reaction stopped after 3 h and then the emulsion was distillated at 50°C for 15 min under vacuum. Finally, the samples were annealed at different temperatures for 2 h to obtain the N-doped mesoporous TiO2 nanorods, designated as NMTNR-x-y, where x represents the theoretical molar ratio of N (%) and y represents the calcination temperature (°C). Characterization of the samples The crystalline phase identification and structural analysis were carried out by X-ray diffraction (XRD) instrument with

Cu Kα radiation. A Japan ULVAC-PHI PHI 5000 VersaProbe buy PRIMA-1MET X-ray photoelectron spectrometer (XPS; Kanagawa, Japan) was applied to analyze the elemental composition and state of the samples. The microstructures were analyzed by scanning electron microscopy (SEM), transmission electron microscopy (TEM), and high-resolution transmission electron microscopy (HRTEM). N2 adsorption-desorption isotherms were measured at 77 K on a Micromeritics Tristar 3020 system (Norcross, GA, USA). The UV-visible (UV–vis) absorbance spectra of the samples were characterized

using a Japan Shimadzu UV240 UV–vis spectrophotometer (Kyoto, Japan). Photocatalytic activity The photocatalytic activity of the samples was estimated by MB degradation performed in a 500-mL cylindrical glass photocatalytic reactor, and a 500-W xenon Rutecarpine lamp was selected as the visible light source. Between the xenon lamp and reactor, a cut filter was inserted to eliminate ultraviolet light. In a typical experiment, 0.08 g of photocatalyst was dispersed into 250 mL of MB solution (10 mg L-1). The actual effect of photocatalytic activity by chemical reaction was studied by maintaining the solutions in the dark for 1 h before irradiation. The MB solution (5 mL) was taken out every 5 min and analyzed using UV–vis spectrophotometer. The degradation of MB can be calculated via the formula η = (1 – A i /A 0) × 100%, where A 0 is the absorbance of the original MB solution before irradiation and A i is the absorbance of MB solution measured every 5 min. The photodegradation of MB follows pseudo-first-order kinetics. Its kinetics can be expressed as ln(C 0/C) = kt, where k (per minute) is the degradation rate constant.

For example, types A14 and J28 from plant B were both resistant to ciprofloxacin, nalidixic acid, and tetracycline. Composite analysis (Figure 4) using fla typing, PFGE, and antimicrobial resistance profiles separated the isolates into 30 distinct types. At 43% similarity, three major clusters (I, II, and III) were evident. One check details isolate was not clustered into any of these three groups. The majority of isolates in group II were C. coli, while all of the isolates

in groups I and III were C. coli and C. jejuni, respectively. The numerical index of discrimination (D) was used to evaluate the results of fla typing, PFGE, and antimicrobial resistance profiling. The discrimination index was highest for fla-PFGE analysis (D = 0.9321) ABT888 followed by PFGE (D = 0.9147), composite data (all three methods, D = 0.9137), fla typing (D = 0.9119), and antimicrobial resistance profiling (D = 0.8430). Discussion Campylobacter isolates from two turkey processing plants in the upper Midwest were examined for susceptibility to ciprofloxacin and erythromycin, antimicrobial agents used for the treatment of human campylobacteriosis. Although co-resistance to both antimicrobials was low, resistance was detected and differences selleck chemicals llc were observed in the frequency of resistance in relation to species. C. coli from plant A (41%) and plant B (17%) were more likely to be erythromycin-resistantcompared

to C. jejuni (plant A, 0.0%; plant B, 0.3%) (P < 0.01). Similarly, other studies on Campylobacter isolated from poultry have reported that erythromycin resistance occurs more frequently in C. coli than C. jejuni [6, 9, 18, 30–32]. The occurrence of erythromycin resistance

among C. coli isolated from the processing environment in this study (41%, plant A and 17%, plant B) was greater in comparison to 11.8% and 12.5% for C. coli from retail turkey in the U.S. [9] and Germany [33], respectively. Erythromycin resistance among C. jejuni in this study was very low, similar to the aforementioned reports on retail turkey where resistance was 0% for C. jejuni in both countries [9, 33]. In contrast, 6.4% of C. jejuni obtained from turkeys at a Belgian slaughterhouse were resistant [32]. In this study, the frequency of ciprofloxacin resistance Endonuclease was also found to be higher in C. coli (plant A, 11%; plant B, 63%) compared to C. jejuni (plant A, 0.0%; plant B, 28%) (P < 0.01). Others have reported a higher occurrence of fluoroquinolone resistance in C. coli compared to C. jejuni as well [6, 19, 30, 34]. In comparison to previous studies conducted at different parts of the production system, ciprofloxacin resistance at plant B (28% in C. jejuni and 63% in C. coli) was similar to U.S. turkeys at the farm level [6, 35], Belgian turkey at slaughter [32] and retail turkey in Germany [33]. Resistance to multiple antimicrobial agents was observed in most of the Campylobacter isolates selected for molecular profiling (Figures 2 and 4).

Methods Fifty-one sedentary women (35±8 yrs, 163±7 cm; 90±14 kg; 47±7% body fat, 34±5 kg/m2) were randomized to participate in the Curves (C) or Weight Watchers (W) weight loss programs

for 16-wks. Participants in the C program were instructed to follow a 1,200 kcal/d diet for 1-week, 1,500 kcal/d diet for 3 weeks, and 2,000 kcals/d diet for 2-weeks consisting of 30% carbohydrate, 45% protein, and 30% fat. Subjects then repeated this diet. Participants also participated in the Curves circuit resistance training program 3 days/week for 30-minutes. This program involved performing 30-60 seconds of bi-directional hydraulic-based resistance-exercise on 13 machines interspersed with 30-60 seconds of low-impact callisthenic or Zumba dance exercise. Participants

in the NVP-BGJ398 chemical structure W group followed the W point-based diet program, received weekly counseling, and were encouraged to increase physical activity. Eating satisfaction and SF-36 see more quality of life and questionnaires were obtained at 0, 4, 10, & 16 wks and analyzed by multivariate analysis of variance (MANOVA) with repeated measures. Data are presented as changes Smoothened Agonist from baseline for the C and W groups, respectively. Results MANOVA analysis of SF36 quality of life indices revealed an overall Wilks’ Lamda time effect (p=0.09) with no significant diet (p=0.44) or time x diet effect (p=0.45).Within subjects univariate analysis revealed that both programsincreased rating of physical function (17.3±36%, p=0.002), role physical (17.5±56%, p=0.03), role emotional (11.8±30 %, p=0.02), vitality(20.8±35%, p=0.001), role emotion (19.1±30 %, p=0.001), bodily pain (19.1±34 %, p=0.001) and general health (12.6±23 %, p=0.001) with no time effect on social functioning (3.0±20 %, p=0.57) following 16 weeks.

No significant interactions were seen between diet groups. MANOVA analysis of eating satisfaction inventories revealed significant within subjects time SPTLC1 effects (p=0.001) with a trend toward a significant interaction effect (p=0.059). Univariate analysis revealed that both programs decreased rating of appetite (-0.5±1.5, p=0.003), amount of energy (-1.6±2.0, p=0.001), and overall quality of diet (-2.5±2.7, p=0.001) with no time effect on hunger (0.1±1.6, p=0.38) or satisfaction from food (-0.3±2.0, p=0.64) following 16 weeks. Perceptions of feelings of fullness were significantly higher in the C group (C 0.4±1.9, 0.0±1.7, 0.5±1.4; W -0.8±1.8,-0.7±1.9, -0.8±1.4; p=0.04). Conclusion Results indicate that participation in the C and W programs generally improve markers of quality of life and participants following the C program experience fullness to a greater fullness than those following the W program.

More gall-inducers (A. quercuscalifornicus) survived to adulthood in larger galls and in galls that developed late in the summer (Table 2). Gall inducers also reached higher abundances in larger galls (Table 3). The parasitoid, T. californica, was more often present in smaller galls and in galls

that emerged later in the summer. Its abundance within the galls was unrelated to the gall size, phenology, RXDX-101 in vitro or location (Table 3). The parasitoid, B. gigas, was present more often at some localities than at others (Table 2) and reached higher abundances in galls that emerged later in the summer (Table 3). The parasitoid, E. californica, emerged more frequently from galls PI3K inhibitor that developed early in the summer (Table 2), but its abundance within galls was not related to gall size, phenology, or location (Table 3). The inquiline, C. latiferreana, was associated with galls that matured late in the season at some localities, but this trend was reversed or non-existent at other localities (Table 2). The abundance of the inquiline within galls was highest from galls that developed late in the year (Table 3). Bassus nucicola, the braconid parasitoid of C. latiferreana, was associated

with early developing galls. All insects, except for B. nucicola, varied in their frequency of emergence across localities (Table 2). Table 2 The effect of oak apple gall size, gall collection locality, and gall AZD6244 cost Maturation date on the presence of the dominant members of the gall insect community using nominal logistic regression   Gall size Gall locality Maturation date Interactions A. quercuscalifornicus (cynipid gall-inducer) (+) χ2 = 233.0, P < 0.0001 χ2 = 24.5, P < 0.0001 (+) χ2 = 13.1, P = 0.0003 NS T. californicus (torymid parasitoid) (−) χ2 = 6.1, P = 0.01 χ2 = 38.7, P < 0.0001 (+) χ2 = 10.2, P = 0.001 NS B. gigas (eulophid parasitoid)

χ2 = 3.6, P = 0.06 χ2 = 95.6, P < 0.0001 χ2 = 1.2, P = 0.27 NS E. californica (eurytomid parasitoid) χ2 = 0.6, P = 0.45 χ2 = 37.4, P < 0.0001 (−) χ2 = 7.6, P = 0.006 NS C. latiferreana (filbert Sirolimus supplier moth inquiline) Total: χ2 = 0.1, P = 0.71 χ2 = 13.0, P = 0.002 Total: χ2 = 0.2, P = 0.63 size*locality Davis: χ2 = 0.1, P = 0.72 (−) Davis: χ2 = 27.6, P < 0.0001 χ2 = 8.6, P = 0.01 (−) Vacaville: χ2 = 5.8, P = 0.02 (+) Vacaville: χ2 = 4.6, P = 0.03 date*locality Woodland: χ2 = 2.6, P = 0.10 Woodland: χ2 = 0.1, P = 0.71 χ2 = 16.2, P = 0.0003 B. nucicola (braconid parasitoid of inquiline) χ2 = 0.5, P = 0.50 χ2 = 2.8, P = 0.24 (−) Total: χ2 = 53.4, P < 0.0001 date*locality (−) Davis: χ2 = 98.2, P < 0.0001 χ2 = 6.3, P = 0.04 (−) Vacaville: χ2 = 11.2, P = 0.0008 (−) Woodland: χ2 = 22.7, P = 0.0001 Significant interactions between terms were included and the model and are shown.

Trade-offs Potential gains in biodiversity persistence achieved through conserving climate refugia may have to be balanced against other considerations, such as the cost of conserving areas. If areas of relative climate stability also represent desirable places for other uses, such as farming or fishing, then focusing conservation efforts on these places will likely require greater resources and compromises. Because we are dealing with probabilities not certainties when considering refugia, if it proved particularly costly to conserve areas

at lower risk from climate-related changes, an analysis of this trade-off might suggest it is most efficient to instead increase the total area in conservation by protecting more vulnerable but also cheaper sites (e.g., Game et al. 2008b). Additionally, check details because identifying areas robust to climate change will often rely on modeled climate projections, it introduces both greater uncertainty and GSK2879552 order greater cost into conservation

decisions. It is important to be explicit about these costs and trade-offs, and confident these prices are worth paying. In a sense, climate refugia imply an assumption that change can be resisted rather than adapted to. Even if climate does not impact an area identified as a refugium, changes due to invasive species, airborne pollution, and other environmental stresses may alter refugia, and these changes could Compound Library in vivo render some climate “refugia” as low priorities for conservation. Enhancing regional connectivity Increasing landscape, watershed, and seascape connectivity is the most commonly cited climate change adaptation approach for biodiversity management (Heller and Zavaleta 2009). From an adaptation perspective, maintaining Quinapyramine or improving the linkages between conservation areas serves at least two purposes. First, it provides the best opportunity

for the natural adaptation of species and communities that will respond to climate change by shifting their distribution (Fig. 3). Second, improving connectivity can improve the ecological integrity of conservation areas, thereby enhancing the resilience of ecosystems to changes in disturbance regimes characteristic of climate change in many places. Even in the absence of climate change, connectivity is considered important to prevent isolation of populations and ecosystems, provide for species with large home ranges (e.g., wide-ranging carnivores), provide for access of species to different habitats to complete life cycles, to maintain ecological processes such as water flow (Khoury et al. 2010), and to alleviate problems deriving from multiple meta-populations that are below viability thresholds (Hilty et al. 2006). As a result, many regional assessments already consider the connectivity of conservation areas, albeit with varying degrees of sophistication. Fig.

Caffeine: Strength- Power Performance In the area of caffeine supplementation, strength research is still emerging and results of published studies are varied. As previously mentioned, Woolf and colleagues [30] examined the effects

of 5 mg/kg of caffeine in highly conditioned team sport male athletes. The protocol consisted of a leg press, chest press, and Wingate. The leg and chest press consisted of repetitions to failure (i.e., Selleckchem BGB324 muscular endurance) and all exercises were separated by 60 seconds of rest. Results indicated a significant increase in performance for the chest press and peak power on the Wingate, but no statistically significant advantage was reported for the leg press, average power, minimum power, or selleck inhibitor percent decrement [30]. Beck et al. [35] examined the acute effects of caffeine supplementation on strength, muscular endurance, and anaerobic capacity. Resistance trained males consumed caffeine (201 mg, equivalent to 2.1-3.0 mg/kg) one hour prior to testing. Subjects were tested for upper (bench press) and lower body (bilateral leg extension) strength, as well as muscular endurance, which consisted of repetitions

to exhaustion Luminespib cost at 80% of individual 1RM. Participants were also tested for peak and mean power by performing two Wingate tests separated by four minutes of rest (pedaling against zero resistance). A low dose of 2.1-3.0 mg/kg of caffeine was effective for increasing bench press 1RM (2.1 kg = 2.1%). Significant changes in performance enhancement were not found for lower body strength in either the 1RM or muscular endurance [35]. Results of the Beck et al. [35] investigation are in contrast to a recent publication by Astorino et al. [76] in which twenty-two resistance-trained men were supplemented with 6 mg/kg of caffeine and tested on the RAS p21 protein activator 1 bench press and leg press [76]. Findings from Astorino and colleagues [76] revealed no significant increase for those subjects supplemented with caffeine for either bench or leg press 1RM. Astorino et al. [76] did

report a nonsignificant increase in repetitions and weight lifted at 60% 1RM for both the bench and leg press [76]; however, the intensity differed between the two studies. The Beck et al. design included a 2.1-3.0 mg/kg dose of caffeine and repetitions to failure at 80% of individual 1RM, whereas subjects in the Astorino et al. investigation consumed 6 mg/kg and performed repetitions to failure at 60% of individual 1RM. Indeed it is possible that the degree of intensity between the two protocols could in some way be a resulting factor in the outcome of the two studies. Consequently, Woolf and colleagues [77] reported no significant increase in bench press performance in collegiate football athletes who consumed a moderate dose of caffeine (5 mg/kg) 60 min prior to testing.

Vaccine 2004, 22:1570–1575.PubMedCrossRef

26. Capiau C, Desmons P: Method for isolating and purifying Bordetella pertussis antigenic factors. In In Book Method for isolating and purifying Bordetella pertussis antigenic factors (Editor ed.^eds.), vol. 5391715. City: SmithKline Beecham Biologicals; GSK1838705A supplier 1995. 27. Chong P, Jackson G, Cwyk W, Klein M: Simultaneous determination of Bordetella pertussis toxin and filamentous haemagglutinin concentrations by hydroxyapatite high-performance liquid chromatography. J Chromatogr 1990, 512:227–236.PubMedCrossRef 28. Hewlett EL, Sauer KT, Myers GA, Cowell JL, Guerrant RL: Induction of a novel morphological response in Chinese hamster ovary cells by pertussis toxin. Infect Immun 1983, 40:1198–1203.PubMed 29. Sauer B: Functional expression of the cre-lox site-specific recombination system in the yeast Saccharomyces cerevisiae . Mol Cell Biol 1987, 7:2087–2096.PubMed 30. Charles I, Histone Methyltransferase inhibitor Fairweather N, Pickard

D, Beesley J, Anderson R, Dougan G, Roberts M: Expression Cyclosporin A price of the Bordetella pertussis P.69 pertactin adhesin in Escherichia coli: fate of the carboxy-terminal domain. Microbiology 1994,140(Pt 12):3301–3308.PubMedCrossRef 31. Frohlich BT, De Bernardez Clark ER, Siber GR, Swartz RW: Improved pertussis toxin production by Bordetella pertussis through adjusting the growth medium’s ionic composition. J Biotechnol 1995, 39:205–219.PubMedCrossRef 32. Stainer DW, Scholte MJ: A simple chemically defined medium for the production of phase I Bordetella pertussis . J Gen Microbiol 1970, 63:211–220.PubMed 33. Inatsuka CS, Xu Q, Vujkovic-Cvijin I, Wong S, Stibitz S, Miller JF, Cotter PA: Pertactin is required for Bordetella species to resist neutrophil-mediated clearance. Infect Immun 2010, Farnesyltransferase 78:2901–2909.PubMedCrossRef 34. Capiau C, Carr SA, Hemling ME, Pl ainchamp D, Conrath K, Hauser P, Simoen E, Comberbach M, Roelants P, Desmons P, et al.: Purification, characterization, and immunological

evaluation of the 69-kDa outer membrane protein of Bordetella pertussis. Proceedings of the sixth international symposium on pertussis. Bethesda, Md.: Department of Health and Human Services, United States Public Health Service, Food and Drug Administration; 1990:75–85. Competing interests The authors declare that they have no competing interests. Authors’ contributions WB, AL and PP conceived the study. WP, CB, AI and JP designed the experiments. WB wrote the draft of manuscript, JP and WP revised the manuscript. All authors read and approved the final version of the manuscript.”
“Background Klebsiella pneumoniae is a Gram negative member of the Enterobacteriaceae family that commonly causes nosocomial pneumonia, bacteriaemia, urinary tract infections and wound infections [1]. In recent years the treatment of K. pneumoniae infections has become more challenging due to the greater prevalence of multiple antibiotic resistant strains [2, 3].

A. phagocytophilum is the etiological agent of human granulocytic anaplasmosis (HGA) that can manifest as

moderate to life-threatening disease in humans. The bacterium preferentially infects granulocytes/neutrophils and persists in polymorphonuclear leukocytes (PMNs), causing thrombocytopenia and leucopenia/lymphopenia, and if untreated, renders the patients susceptible to secondary opportunistic infections. Human babesiosis is an intraerythrocytic infection that may remain asymptomatic but often leads to severe to fatal disease [10]. Sensitive diagnostic tests that can accurately and simultaneously CAL-101 in vivo diagnose Lyme disease, anaplasmosis and babesiosis are not currently available emphasizing a need to develop individual test for each pathogen or a combinatorial test for all three tick-borne pathogens to detect coinfection in patients. B. burgdorferi, A. phagocytophilum and B. https://www.selleckchem.com/products/i-bet-762.html microti have overlapping epidemiology and transmission cycles with shared tick vectors, Selleckchem AMN-107 and common primary and secondary host reservoirs. All three use white-footed mice as a reservoir host and white-tailed deer populations to spread through the endemic regions of the United States [11–14]. HGA and canine granulocytic anaplasmosis, as well

as bovine and human babesiosis, are prevalent in Northeastern and Midwestern regions of the United States, as is Lyme disease [8, 10, 15–23]. Severe to fatal babesiosis cases have been reported in the USA in the past two decades [24, 25]. More recently, A. phagocytophilum infections have also increased significantly in regions endemic for Lyme disease, with 3,637 HGA cases reported by the CDC in the United States between 2003 and 2008 [26]. The CDC has now declared HGA to be a notifiable disease [26]. In 2002, most commonly diagnosed coinfections in patients in the Eastern parts of the United States were due to B. burgdorferi and B. microti, accounting for ~80% of the total tick-borne coinfections. These coinfections exhibit more severe clinical symptoms than infections by B. burgdorferi and parasite B. microti alone

probably as a consequence of the modification of the immune 4-Aminobutyrate aminotransferase system by the latter [20, 27]. Coinfections are also prevalent among ticks in Europe and are also becoming common in humans, who are regularly exposed to these ticks [28–30]. Hence, there is a desperate need to develop assays for the detection of pathogens responsible for these diseases individually or together. Accurate diagnosis of various tick-borne diseases is problematic, due to similar clinical manifestations [12, 31]. Currently available serological tests are neither cost-effective, nor sensitive or specific for diagnosis of infections by these three pathogens transmitted by ticks, especially at early stage of infection [9, 32–34].

To model the diamond-like lattice, we assume that each atom

has four nearest neighbors. In this connection, we would like to mention that the considered model cannot be applied directly to the predicted [16–19] and recently grown [20, 21] two-dimensional lattice with graphene-like structure, made from Si or Ge atoms, the silicene. Our main goal is to provide semiquantum modeling of the heat transport this website and effective ‘isotopic effect’ on phonon heat transport in Androgen Receptor Antagonist cell line low-dimensional structures made from Si or Ge atoms, arranged in lattices, which reflect the symmetry of corresponding bulk materials. Since the lattice structure (the number of nearest neighbors) of the considered quasi-two-dimensional nanoribbons reflects the bulk one, our model can also be applied to the

quasi-three-dimensional nanowires with bulk-like structure. The isotopic effect on phonon heat transport can be used for the understanding and prediction of the trends in the changes of thermal conductivity in low-dimensional nanostructures caused by the essential change in ion masses accompanied by less strong change in inter-ion force constants. The Hamiltonian of the system describes the kinetic energy and harmonic interparticle interaction potentials. The characteristic energy of the nearest-neighbor interaction buy AG-881 energy E 0 can be related with the energy of the LO phonon mode in the semiconductor, which is approximately 15 THz in Si and approximately 9 THz in Ge. The ratio of these maximal frequencies is close to the ratio of the Debye temperatures, T D = 645 K in Si and T D = 374 K in Ge, and to the ratio of the inverse square root of Si and Ge atomic masses, which reflect the approximate isotopic effect in phonon properties of Si and Ge lattices BCKDHA when the materials can be described approximately with the same force constants and different atomic masses (see [22]). The particle mass (M) and lattice constant

(a) are determined by the mass and characteristic period of the corresponding bulk semiconductor material, a = 5.43 Å and a = 5.658 Å for Si and Ge, respectively. We consider a ribbon which consists of K = 18 atomic chains. To model the roughness of the ribbon edges, we delete with probability (porosity) p = 1− d some atoms from K 1 chains adjacent to each ribbon edge. Here, K 1 is a width of the rough edges, and d, 0 ≤ d ≤ 1, is a fraction of the deleted atoms in the edge atomic chains. In our simulations, we take K 1 = 4 and d = 0.80. In Figure 1, we show an example of the nanoribbon with porous edges, cut from the two-dimensional diamond-like lattice in which each atom has four nearest neighbors. Figure 1 Nanoribbon with porous edges cut from two-dimensional diamond-like lattice where each atom has four nearest neighbors. We computed the thermal conductivity κ(N T) for the nanoribbons with the length of N = 500 unit cells.