Miracle-dz/UniFAR-FTUs huggingface dataset:
Coupling Difficulty Associated with Interchain Clustering and Phase Transition in Solid Phase Peptide Synthesis

We have developed a model containing clustered peptide chains to evaluate coupling difficulties associated with interchain interactions in solid phase peptide synthesis. Our results revealed two new findings. First, there was a significant difference in solvation properties between the conventional dispersed and our clustered peptide chain models at a similar level of peptidyl loading. At the completion of an eight-residue peptide, with a peptide content of >61%, the solvated volumes of a dispersed chain model increased 20-30-fold over the initial dry resin and were about 4-5-fold higher than those of the clustered chain model in both polar and nonpolar solvents. The decrease in solvation mimics the effect of higher cross-linking of resin supports, leading to poor swelling ability. Second, there was a polystyrene to polyamide transition when the peptide loading reached approximately 50% of the peptidyl resin. In this transition phase, the swelling and growth of the peptidyl resin reached the lowest point in both polar aprotic and hydrophobic solvents. Furthermore, the phase transition was also the crossover point where the aprotic polar solvent N,N-dimethylformamide provided better resin swellability than the nonpolar solvent dichloromethane. A good correlation between swelling ability and the coupling yield in aprotic polar solvents was also found. A combination of the aprotic polar solvent NMP and coupling at elevated temperature was found to be the most efficient to increase coupling efficiency. Thus, our results provide evidence for coupling difficulties associated with the interchain interactions exacerbated by chain clustering and phase transition.
TIME PREDICTION ALGORITHM BASED ON DISTANCE AND REAL-WORLD CONDITIONS

Prediction algorithms have seen a rise in popularity in various applications. These algorithms are frequently implemented in applications to assist in making data-driven decisions based on the predicted output. Time prediction algorithms are often used to predict the travel time between two distances that allow better planning and anticipation. However, the non-linear situation of urban traffic has undermined the accuracy of these predictions. With the increased application of such algorithms in urban settings, it is important to conduct research to further improve the accuracy of current algorithms. The factors affecting travel time are researched to develop an algorithm that includes these factors into consideration during calculation.
PRESSURE-INDUCED PHASE TRANSITIONS AND TEMPLATING EFFECT IN THREE-DIMENSIONAL ORGANIC-INORGANIC HYBRID PEROVSKITES

Pressure-induced structural changes of conducting halide perovskites (CH 3 NH 3 )SnI 3 , (CH 3 NH 3 ) 0 . 5 (NH 2 CH=NH 2 ) 0 . 5 SnI 3 , and (NH 2 CH=NH 2 )SnI 3 , have been investigated using synchrotron x-ray powder diffraction. Incontrast to low-temperature structural changes, no evidence of an increased ordering of the organic cations was observed under pressure. Instead, increase in pressure results first in a ReO 3 -type doubling of the primitive cubic unit cell, followed by a symmetry distortion, and a subsequent amorphization above 4 GPa. This process is reversible and points towards a pressure-induced templating role of the organic cation. Bulk compressions are continuous across the phase boundaries. The compressibilities identify these hybrids as the most compressible perovskite system ever reported. However, the Sn-I bond compressibility in (CH 3 NH 3 )SnI 3 shows a discontinuity within the supercell phase. This is possibly due to an electronic localization.
A three-thousand-year-old soldier: history and the Hebrew Bible in Jewish-Israeli public education

ABSTRACT History education has been instrumental in transmitting collective memories across generations while sustaining national traditions. Many nations use history education to instill national memories in their future citizens. In the current Jewish context, history is arguably a dominant cultural discourse. History education is deemed central to preparing future Jewish citizens of Israel. In particular, Zionist scholars and educators use the Bible as their primary text, providing an infrastructure of history and myths for this national ideology. In order to investigate the relationship between political ideology, education, and national memories, this paper explores the ways in which the Hebrew Bible and Jewish history are being taught interchangeably in Jewish-Israeli schools. Drawing on various source materials (such as political videos, school curricula, and textbooks), the paper retraces the origins of this conflation, critically examines its goals, and suggests possible effects it may have on the formation of children's and adolescents’ collective memories.
EFFECT OF SINTERING CONDITIONS ON MAGNETIC PROPERTIES OF NANOPARTICLE Mn–Zn FERRITE SYNTHESIZED WITH NITRILOTRIACETATE PRECURSOR METHOD

Nitrilotriacetate precursors have been used for synthesis of oxide materials. High permeability Mn–Zn ferrite with general formula MnxZn1-xFe2O4 where x=0.3/0.35/0.4/0.45/0.5/0.55/0.6/0.65/0.7 were prepared using this novel method. Formation of cubic spinel structure was confirmed by XRD, which also provided information on formation of fine particle material. The magnetic properties of these materials were investigated after sintering the same at 950°C, 1150°C, 1250°C and 1350°C in nitrogen atmosphere and at 1050°C in air and were found to be interesting.
A Systematic Review to Examine the Evidence in Developing Social Prescribing Interventions That Apply a Co-Productive, Co-Designed Approach to Improve Well-Being Outcomes in a Community Setting

This systematic review aims to investigate the evidence in applying a co-design, co-productive approach to develop social prescribing interventions. A growing body of evidence suggests that co-production and co-design are methods that can be applied to engage service users as knowledgeable assets who can contribute to developing sustainable health services. Applying the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic literature search was conducted. Peer-reviewed articles were sought using electronic databases, experts and grey literature. The review search concluded with eight observational studies. Quality appraisal methods were influenced by the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) Framework approach. A narrative thematic synthesis of the results was conducted. The evidence suggests that a co-design and co-productive social prescribing can lead to positive well-being outcomes among communities. Barriers and facilitators of co-production and co-design approach were also highlighted within the evidence. The evidence within this review confirms that a co-production and co-design would be an effective approach to engage stakeholders in the development and implementation of a SP intervention within a community setting. The evidence also implies that SP initiatives can be enhanced from the outset, by drawing on stakeholder knowledge to design a service that improves health and well-being outcomes for community members.
Vibrational spectra of oligothiophenes as model of polythiophenes

The vibrational spectra of a few oligomers of thiophene in the solid and solution are studied with the help of quantum mechanical calculations and of the theory of the effective conjugation coordinate recently developed. The aim of the work is to extract from the spectra structural probes to be used in the understanding of the spectra, structure, and thermochromic effects in polyalkylthiophene treated in a paper which follows (paper II).
Estimation of Genetic Diversity Among Teressa Goat Population of A and N Islands by using Microsatellite Markers

Background: Teressa goat is an indigenous goat breed of Andaman and Nicobar Islands. These goats are mainly distributed in the Nicobar group of islands, however, sparse population is also available in the Andaman Islands. In order to understand the genetic diversity and variation among the population of Teressa goat, the studies on the molecular characterization was done by using microsatellite molecular markers. Methods: Randomly a total of 48 blood samples were collected different areas of the Nicobar Islands representing the breeding tract of the Teressa goat. Based on the guidelines of ISAG and FAO, a total of 15 recommended microsatellite markers were selected for the microsatellite analysis study. The data were analysed to study the diversity analysis at each locus by using GENETIX software package. Bottleneck hypothesis was also studied by using BOTTLENECK 1.2. 01 and FIS, FIT and FIT values were calculated and heterozygosity deficiency at each locus using FSTAT software. Result: A total of 50 genotypes were observed across the 15 loci. The number of genotype varied between (MAF70; SRCRSP3) 1 and 6 (SRCRSP15). The effective number of alleles (Ne) varied from 2 to 6.98 in Teressa goat. Shannon’s Information Index (I) value was found to be high (1.1856±0.4369), it indicated that the level of diversity among the population of the Teressa goat is high. All the values of FIS obtained were negative which is suggestive of no inbreeding within the populations and the animals were outbred. The mode-shift test indicated the genetic bottleneck in Teressa and needs greater attention towards in situ/ex situ conservation. The present study provides the valuable information about the genetic makeup of the Teressa goat, however, detail study is required to carry out to study the important traits linked with production for further utilization of this breed.
Morphology and Surface Properties of Boehmite (γ-AlOOH): A Density Functional Theory Study

Abstract The aluminum oxihydroxide boehmite (γ-AlOOH) is the topotactic precursor of γ-alumina, widely used as a support of refining catalysts. We use ab initio calculations and molecular dynamics (MD) to study water–boehmite interfacial properties, which are believed to play a key role during the industrial synthesis of boehmite in aqueous solution. For four relevant crystallographic planes—(010), (100), (001), and (101)—we develop a theoretical approach for calculating surface energies and interfacial energies that cannot be determined experimentally. From these values, the morphology of boehmite nanosized particles is constructed either in vacuum or in water, highlighting the strong effect of the solvent. It is clearly shown that during MD water molecules react on the surfaces by molecular adsorption and dissociative chemisorption, producing surface hydroxyl groups. A detailed analysis of the local structure before and after water adsorption is furnished. Particularly, four main surface hydroxyl groups are identified by their stretching vibrational frequencies: μ 2 -Al VI (ν OH =3676 cm −1 ), μ 1 -Al VI (ν OH =3712 cm −1 ), μ 1 -Al V (ν OH =3741 cm −1 ), and μ 1 -Al IV (ν OH =3819 cm −1 ). This analysis of surface hydroxyl groups gives us some new insights for the understanding of experimental IR band assignment and Bronsted acidity by ammonia adsorption. The localization of basic and acid Bronsted sites on the boehmite nanosized particles is resolved. An interpretation of these results in the light of γ-alumina is attempted.
Synthesis of 8-aza-2'-deoxyadenosine and related 7-amino-3H-1,2,3-triazolo[4,5-d]pyrimidine 2'-deoxyribofuranosides: stereoselective glycosylation via the nucleobase anion

The synthesis of 8-aza-2′-deoxyadenosine ( = 7-amino-3H-1,2,3 triazolo[4,5-d]pyrimidine N3-(2′-deoxy-β-D-ribofuranoside); 1) as well as the N2- and N1-(2′-deoxy-β-D-ribofuranosides) 2 and 3 is described. Glycosylation of the anion of 7-amino-3H-1,2,3-triazolo[4,5-d]pyrimidine (6) in DMF yielded three regioisomeric protected 2′-deoxy-β-D-ribofuranosides, i.e. the N3-, N2-, and N4-glycosylated isomers 7 (14%), 9 (11%), and 11 (3%), respectively, together with nearly equal amounts of their α-D-anomers 8 (13%), 10 (12%), and 12 (4%; Scheme 1). The reaction became Stereoselective for the β-D-nucleosides if the anion of 7-methoxy-3H-1,2,3-triazolo[4,5-d]pyrimidine (13) was glycosylated in MeCN: only the N3-, N2, and N1-(2′-deoxy-β-D-nucleosides) 14 (29%), 15 (32%), and 16 (23%), respectively, were formed (Scheme 2). NH3 Treatment of the methoxynucleosides 14–16 afforded the aminonucleosides 1–3. The anomeric configuration as well as the position of glycosylation were determined by combination of 13C-NMR, 1H-NMR, and 1D-NOE difference spectroscopy. Compound 1 proved to be a substrate for adenosine deaminase, whereas the regioisomers 2 and 3 were not deaminated.
Abatement of perfluorinated compounds using microwave plasmas at atmospheric pressure

Microwave plasmas sustained at atmospheric pressure, for instance by electromagnetic surface waves, can be efficiently used to abate greenhouse-effect gases such as perfluorinated compounds. As a working example, we study the destruction and removal efficiency (DRE) of SF6 at concentrations ranging from 0.1% to 2.4% of the total gas flow where N2, utilized as a purge gas, is the carrier gas. O2 is added to the mixture at a fixed ratio of 1.2–1.5 times the concentration of SF6 to ensure full oxidation of the SF6 fragments, providing thereby scrubbable by-products. Fourier-transform infrared spectroscopy has been utilized for identification of the by-products and quantification of the residual concentration of SF6. Optical emission spectroscopy was employed to determine the gas temperature of the nitrogen plasma. In terms of operating parameters, the DRE is found to increase with increasing microwave power and decrease with increasing gas flow rate and discharge tube radius. Increasing the microwave power, .
BENEFITS THAT ISLAMIC AND CONVENTIONAL BANKS CAN ATTAIN BY IMPLEMENTING GREEN BANKING

This paper aims to ascertain the benefits that Islamic and conventional banks in Bangladesh can reap by implementing green banking, and also the drivers that motivate banks to behave environmentally. The Green Compliance Index (GCI) was introduced here to measure banks’ environmental behaviour. It was prepared based on central bank guidelines. In this study, with the participation of all 40 private commercial banks (PCBs), 32 conventional banks and 8 Islami Shariah-based PCBs, firm specific variables were collected through content analysis of the GCI. Structural equation modellingpartial least squares (SEM-PLS), together with the bootstrapping method, were used to evaluate the research data. These were collected and sorted from the FY annual report of 2018. For further support, a Generalized Linear Model (GLM) was used to assess the outcomes. The results show that the effects of green compliance on possible benefits are significantly higher for Islamic banks. In contrast, these banks comply less with the green banking codes than conventional banks do in Bangladesh. Company size and the independence of bank directors appear to have a significant influence on compliance with the green banking codes, while governance does not show such an association for either group of banks. As Islamic banks have a greater scope to attain benefits, policymakers should introduce more interactive green banking products and loan schemes for prospective consumers, especially in industrial sectors where there is a greater possibility of being sustainable and environmentally friendly. Based on the findings, policy recommendations are made for practitioners, regulators and future researchers.
PENGARUH MOTIVASI KERJA DAN KOMPENSASI TERHADAP TURNOVER INTENTION PADA PT NBK

Studi ini dilakukan untuk menguji pengaruh antara motivasi kerja serta kompensasi terhadap turnover intention pada PT NBK. Turnover intention yang tinggi dapat berdampak negatif bagi perusahaan, antara lain dapat meningkatkan biaya yang dikeluarkan oleh perusahaan. Motivasi kerja dan kompensasi merupakan dua aspek penting yang dapat berdampak terhadap turnover intention karyawan pada suatu perusahaan ataupun organisasi. Perusahaan perlu memperhatikan kedua aspek penting tersebut guna untuk menjaga tingkat turnover intention . Sebanyak 60 karyawan pada PT NBK di ambil menjadi sampel di dalam penelitian ini. Studi ini menunjukkan bahwa baik motivasi kerja maupun kompensasi keduanya berpengaruh negatif terhadap turnover intention pada PT NBK.
Functional and Structural Connectivity Between the Left Dorsolateral Prefrontal Cortex and Insula Could Predict the Antidepressant Effects of Repetitive Transcranial Magnetic Stimulation

Background The efficacy of repetitive transcranial magnetic stimulation (rTMS) in depression is nonuniform across patients. This study aims to determine whether baseline neuroimaging characters can provide a pretreatment predictive effect for rTMS. Methods Twenty-seven treatment-naive patients with major depressive disorder (MDD) were enrolled and scanned with resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging. Clinical symptoms were assessed pre- and post-rTMS. Functional and structural connectivity between the left dorsolateral prefrontal cortex (DLPFC) and bilateral insula were measured, and the connectivity strength in each modality was then correlated to the clinical efficacy of rTMS. Results When the coordinates of left DLPFC were located as a node in the central executive network, the clinical efficacy of rTMS was significantly correlated with the functional connectivity strength between left DLPFC and bilateral insula (left insula: r = 0.66; right insula: r = 0.65). The structural connectivity strength between the left DLPFC and left insular cortex also had a significantly positive correlation with symptom improvement (rs = 0.458). Conclusion This study provides implications that rTMS might act more effectively when the pretreatment functional and structural connectivity between the insula and left DLPFC is stronger.
A New Method for Consolidating Wall Paintings Based on Dispersions of Lime in Alcohol

Abstract -Dispersions of calcium hydroxide, Car OH) 2' in short-chain aliphatic alcohols were studied with the aim of establishing a new pre-consolidation and consolidation methodology for wall paintings. The choice of lime (a paste comprising calciun1 hydroxide plus water) as the consolidant was suggested by physicochemical compatibility criteria, as lime is the original binder in the wall paintings treated. Many problems are encountered when trying to apply calcium hydroxide to wall paintings. Saturated solutions are too weak to act as consolidant, due to the low solubility (1·7 gl–1) of Ca(0H)2 in water. In addition, suspensions of Ca(0H)2 in water are too unstable to be applied to unprotected painting surfaces. The use of Ca(OH)2 dispersions in propan-l-ol is proposed; these dispersions were characterized, and their kinetic stability investigated, by ultraviolet/visible spectrophotometry. The alcohol dispersions were found to be n1uch n10re stable than suspensions in water. The second part of the study evaluated the consolidating power of alcohol dispersions on specimens that simulate different degrees of decohesion. These were examined using X-ray diffractometry and Fourier transform infrared spectroscopy. Their surface properties were characterized by studying capillary rise, water permeability and mercury porosity. The mechanical properties of the specimens were determined using sclerometric resistance and the 'Scotch Tape test'. All the results indicated that the lime/alcohol dispersions produced excellent consolidation. Finally, the paper reports the positive results of tests using the lime/alcohol dispersion on wall paintings by Andrea da Firenze in the Cappellone degli Spagnoli, Chiostro Verde of Santa Maria Novella, Florence.
Wind power interval forecasting based on adaptive decomposition and probabilistic regularised extreme learning machine

: The uncertainty of wind power brings great challenges to large-scale wind power integration. The conventional point forecasting of wind power is difficult to meet the demand of power grid planning and operation. A novel two-stage short-term hybrid wind power interval forecasting model is proposed in this study. In the first stage, the original wind power data is automatically decomposed and divided into three different classes based on the data preprocessing method combining variational mode decomposition with sample entropy. In the second stage, the prediction model is established using the probabilistic regularised extreme learning machine (PRELM) and particle swarm optimisation (PSO). In view of the different characteristics of the subseries in the above three classes, prediction intervals (PIs) are constructed for each subseries. A novel interval evaluation index is used as the objective function of PSO to optimise the PRELM output weight matrix to find the optimal PIs. Also the prediction results of each subseries are reconstructed to obtain the final wind power prediction results. The numerical results based on actual wind power data show that the proposed model shows better performance compared with other methods and can effectively improve the prediction accuracy.
Educational Escape Room for Disaster Preparedness and Response Training

Human-made and natural disasters are constantly occurring, and citizens need to be aware of their protection. Although disaster education is considered an important aspect of disaster preparedness, it relies mostly on conventional lectures given by experts on disaster prevention. However, a fundamental problem of this method of delivery is that lectures are based on the information transmission fallacy, the idea that students learn just by being told. Although lectures may increase risk perception, they do not automatically enable youth to know the importance of pre-event preparations and to take action to reduce disaster risk. To overcome the key obstacle of lack of motivation, this study proposes an alternative approach to lecturing – active learning activities using escape room concepts. This paper provides considerations for researchers and organisations concerning the development of a portable educational escape room about disaster preparedness. A total of 84 young adults aged 13-20 participated in a 30-minute escape room activity and postgame debriefing. An attitude questionnaire and focus groups were used to evaluate student experience in terms of satisfaction, quality of the escape room, and the impact of the escape room on learning. Most participants found their experience very engaging and reported that the game helped them gain new knowledge about fire safety and disaster response. These findings suggest that the escape room intervention can be used as a potential avenue to facilitate learning and increase disaster preparedness and response knowledge.
Normal Human Brain Analysis

Abstract In the present work the establishment of optimal storage condition for brain samples has been one of our aims. Storage should minimize alterations of the sample due to losses and contamination. The second aim was to investigate the applicability of microwave heating for dissolution of brain samples. Eleven elements (Na, K, Mg, Ca, P, S, Al, Cu, Mn, Sr, Zn) were measured in nine different regions from both hemispheres of nine deep-frozen normal human brains. Simultaneous multielement analyses were carried out by inductively coupled plasma atomic emission spectrometry (ICP-AES) and instrumental neutron activation analysis (INAA). The precision and accuracy were evaluated by analyzing certified standard reference materials. Our results showed that microwave acid digestion is a valuable method for the preparation of human brain samples for ICP-AES analysis. Compared to Parr bomb digestion in a regular oven, microwave digestion is much faster, although it provides essentially the same precision and accuracy.