Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Moderate Organizational Collectivism on Entrepreneurship Orientation and Interactions on SME Innovation Performance

This study aims to examine the relationship between Entrepreneurial Orientation (EO) and Interaction Orientation (IO) market approaches in developing countries. This study uses two market methods using a survey approach. This study collects data from 110 SMEs in Yogyakarta and analyzes it using PLS. Research findings indicate that EO and IO have a beneficial impact on innovation performance. The impact of EO and IO on business innovation performance was not found to be moderating in this study. Research findings support strategic planning by recommending that managers focus on two market approaches to increase innovation success.
Generating accurate 3D gaze vectors using synchronized eye tracking and motion capture

Assessing gaze behavior during real-world tasks is difficult; dynamic bodies moving through dynamic worlds make gaze analysis difficult. Current approaches involve laborious coding of pupil positions. In settings where motion capture and mobile eye tracking are used concurrently in naturalistic tasks, it is critical that data collection be simple, efficient, and systematic. One solution is to combine eye tracking with motion capture to generate 3D gaze vectors. When combined with tracked or known object locations, 3D gaze vector generation can be automated. Here we use combined eye and motion capture and explore how linear regression models generate accurate 3D gaze vectors. We compare spatial accuracy of models derived from four short calibration routines across three pupil data inputs: the efficacy of calibration routines was assessed, a validation task requiring short fixations on task-relevant locations, and a naturalistic object interaction task to bridge the gap between laboratory and “in the wild” studies. Further, we generated and compared models using spherical and Cartesian coordinate systems and monocular (left or right) or binocular data. All calibration routines performed similarly, with the best performance (i.e., sub-centimeter errors) coming from the naturalistic task trials when the participant is looking at an object in front of them. We found that spherical coordinate systems generate the most accurate gaze vectors with no differences in accuracy when using monocular or binocular data. Overall, we recommend 1-min calibration routines using binocular pupil data combined with a spherical world coordinate system to produce the highest-quality gaze vectors.
The Effect of the Marketing Mix of MSME Products on Sales Volume During the Covid-19 Pandemic

This study aims to find out how much influence the marketing mix strategy has on sales volume during the Covid-19 pandemic on culinary MSMEs located in the North Bekasi area. The population is all culinary MSMEs in the North Bekasi area amounting to 1060 actors and sampling methods in the cluster sampling area of North Bekasi amounted to 104 MSMEs. The author uses quantitative methods using SEM (Structural Equation Modeling) and data analysis used with the Lisrel 8.70 software program. For primary data obtained through Likert scale with validity, reliability and GOFI test. From the results of the study obtained the conclusion that the quality of products, prices and location has no effect on sales volume, only promotional variables that positively affect the sales volume of culinary MSMEs with micro criteria in North Bekasi
Optimal Lymph Node Yield for Survival Prediction in Rectal Cancer Patients After Neoadjuvant Therapy

Purpose A lymph node (LN) yield ≥12 is required to for accurate determination of nodal status for colorectal cancer but cannot always be achieved after neoadjuvant therapy. This study aims to determine the difference in LN yield from rectal cancer patients treated with and without neoadjuvant therapy and the effects of specific LN yields on survival. Patients and Methods The study cohort included a total of 4344 rectal cancer patients treated between January 2007 and December 2015, 2260 (52.03%) of whom received neoadjuvant therapy. Data were retrieved from the Taiwan nationwide cancer registry database. The minimum acceptable LN yield below 12 was investigated using the maximum area under the ROC curve. Results The median LN yield was 12 (8–17) for patients who received neoadjuvant therapy and 17 (13–24) for those who did not. The recommended LN yield ≥12 was achieved in 82.73% of patients without and 57.96% of those with neoadjuvant therapy (p < 0.0001). Patients with LN yield ≥12 had a higher OS probability than did those with LN <12 (OR, 1.33; 95% CI, 1.06–1.66; p = 0.0124). However, the predictive accuracy for survival was greater for LN yield ≥10 (AUC, 0.7767) than cut-offs of 12, 8, or 6, especially in patients with pathologically-negative nodes (AUC, 0.7660). Conclusion Neoadjuvant therapy significantly reduces the LN yield in subsequent surgery. A lower yield (LN ≥ 10) may be adequate for nodal evaluation in rectal cancer patients after neoadjuvant therapy.
High-Temperature-Tolerant Fungus and Oomycetes in Korea, Including Saksenaea longicolla sp. nov.

Abstract Global temperatures are steadily increasing, leading to significant changes in microbial diversity and ecology. In the present study, we isolated high-temperature-growing fungi and fungi-like group (Oomycota) strains from freshwater environments of Korea and identified them based on cultural, morphological, and multilocus phylogenetic analyses. As a result, we introduce Saksenaea (Fungi) isolates as a new species, Saksenaea longicolla sp. nov. and record Phytophthora chlamydospora and P. lagoariana (Oomycota) new to Korea. In the growth experiments, they exhibited high-temperature tolerance, which can grow at 35–40 °C but become inactive at 4 °C and below. This study confirms the presence of high-temperature-tolerant fungi and oomycetes in Korea and suggests that the Korean climate conditions are changing in favor of these species. This indicates that climate warming is altering microbial distributions in freshwater environments.
The complete mitochondrial genome of Tylonycteris fulvida (Chiroptera: Vespertilionidae) in South China

Abstract The complete mitochondrial genome of Tylonycteris fulvida (Peters, 1872) was obtained using high-throughput sequencing technology. The genome is a circular molecule of 16,621 bp length, containing 13 protein-coding genes, 2 rRNA genes, 22 tRNA genes, and a control region. A phylogenetic tree of 13 protein-coding genes was constructed using IQ-TREE. Our result suggests that T. fulvida cluster within Chiroptera and Fereuungulata. The complete mitochondrial genome sequence of T. fulvida will be helpful for future taxonomic and phylogenetic studies on Chiroptera.
Amplicon Sequencing of Single-Copy Protein-Coding Genes Reveals Accurate Diversity for Sequence-Discrete Microbiome Populations

Microbial communities can be distinguished by discrete genetic and ecological characteristics. These sequence-discrete populations are foundational for investigating the composition and functional structures of microbial communities at high resolution. ABSTRACT An in-depth understanding of microbial function and the division of ecological niches requires accurate delineation and identification of microbes at a fine taxonomic resolution. Microbial phylotypes are typically defined using a 97% small subunit (16S) rRNA threshold. However, increasing evidence has demonstrated the ubiquitous presence of taxonomic units of distinct functions within phylotypes. These so-called sequence-discrete populations (SDPs) have used to be mainly delineated by disjunct sequence similarity at the whole-genome level. However, gene markers that could accurately identify and quantify SDPs are lacking in microbial community studies. Here, we developed a pipeline to screen single-copy protein-coding genes that could accurately characterize SDP diversity via amplicon sequencing of microbial communities. Fifteen candidate marker genes were evaluated using three criteria (extent of sequence divergence, phylogenetic accuracy, and conservation of primer regions) and the selected genes were subject to test the efficiency in differentiating SDPs within Gilliamella, a core honeybee gut microbial phylotype, as a proof-of-concept. The results showed that the 16S V4 region failed to report accurate SDP diversities due to low taxonomic resolution and changing copy numbers. In contrast, the single-copy genes recommended by our pipeline were able to successfully quantify Gilliamella SDPs for both mock samples and honeybee guts, with results highly consistent with those of metagenomics. The pipeline developed in this study is expected to identify single-copy protein coding genes capable of accurately quantifying diverse bacterial communities at the SDP level. IMPORTANCE Microbial communities can be distinguished by discrete genetic and ecological characteristics. These sequence-discrete populations are foundational for investigating the composition and functional structures of microbial communities at high resolution. In this study, we screened for reliable single-copy protein-coding marker genes to identify sequence-discrete populations through our pipeline. Using marker gene amplicon sequencing, we could accurately and efficiently delineate the population diversity in microbial communities. These results suggest that single copy protein-coding genes can be an accurate, quantitative, and economical alternative for characterizing population diversity. Moreover, the feasibility of a gene as marker for any bacterial population identification can be quickly evaluated by the pipeline proposed here.
Environmental DNA analysis needs local reference data to inform taxonomy-based conservation policy – A case study from Aotearoa / New Zealand

Effective management of biodiversity requires regular surveillance of multiple species. Analysis of environmental DNA by metabarcoding (eDNA) holds promise to achieve this relatively easily. However, taxonomic inquiries into eDNA data need suitable molecular reference data, which are often lacking. We evaluate the impact of this reference data void in a case study of fish diversity in the remote fiords of New Zealand. We compared eDNA-derived species identifications against Baited Remote Underwater Video (BRUV) data collected at the same time and locations as the eDNA data. Furthermore, we cross referenced both eDNA and BRUV data against species lists for the same region obtained from literature surveys and the Ocean Biodiversity Information System (OBIS). From all four data sources, we obtained a total of 116 species records (106 ray-finned fishes, 10 cartilaginous fishes; 59 from literature, 44 from eDNA, 25 from BRUV, 25 from OBIS). Concordance of taxonomies between the data sources dissolved with lowering taxonomic levels, most decisively so for eDNA data. BRUV agreed with local biodiversity information much better and fared better in detecting regional biodiversity dissimilarities. We provide evidence that eDNA metabarcoding will remain a powerful but impaired tool for species-level biodiversity management without locally generated reference data.
Finding a Potential Bruceine D Inhibitor for Apoptotic Resistance Protein Pancreatic Cancer Based on Molecular Docking

Pancreatic cancer arises when cells in the pancreas begin to multiply out of control. In pancreatic cancer, over expression of heat proteins (Hsp70, Hsp 90), constitutive activation of NFĸB, and Bcl-2 family are closely linked with resistance to apoptosis. Apoptotic resistance has been attributed to defects in apoptotic signaling pathways. Bruceine D, which found in abundance Brucea javanica, possesses potent anti-pancreatic cancer activity. In vitro result, bruceine D could induce apoptosis of pancreatic cancer cell. The aim of this study was to find the potential effect of bruceine D inhibitor on apoptotic resistance proteins in pancreatic cancer based on molecular docking. Docking showed a binding affinity between bruceine D with proteins involved in apoptosis using AutoDock. The results showed that free binding energy of Hsp70 is -5.19; Hsp90 -7.26; NFĸB1 -5.49; NFĸB2 -6.14; Bcl-W -6.02; Bcl-xL -5.45 kcal/mol. Based on the result, we conclude that bruceine D with Hsp90 protein has potential the best binding affinity than other proteins.
Clinical Outcomes and Stability Changes Associated With Immediate loading Of Two Different Installation Protocols

Problem statement The wide variation of implant installation protocols combined with immediate implant loading have a pivotal impact on implant stability and success. This study was conducted to assess immediate implant loading on stability changes and clinical outcomes of two different installation protocols. Patient and Method: Sixteen patients; nine females and seven males seeking for dental implants and patient were divided equally into two groups. In 1 group, eight dental implants were placed 6-8 weeks after extraction of non-restorable tooth in the lower posterior region. While, in 2 group, eight dental implants were placed in healed sites (more than 3 months) after extraction in the lower posterior region. All implants were subjected to immediate loading within (48-72) hours after fixture installation. All patients were assessed clinically either at baseline (T0), 3 months (T1), at 6 months (T2) and 12 months (T3) of follow up regarding to Implant stability by Osstell and Periotest, radiographically for assessment of marginal bone level (MBL). Modified bleeding index, Modified plaque index and peri-implant pocket depth were assessed at the same time intervals of evaluation. Result: There was significant differences were recorded between both groups regarding to implant stability by osstell at (T0) (P=0.004). However, there were no statistical significant differences recorded at (T1) and (T2) intervals of follow up (P=0.870, 0.201 respectively), on other hand, periotest value showed no statistical significant differences between both groups at (T0), (T1), (T2) and (T3) (P=0.490, 0.914, 0.063 and 0.098 respectively). A significant correlation was established between ISQ and PTVs at (T0) in control group in comparison with lack of significant correlation between both of ISQ and PTVs in study group for same time interval of assessment. No significant differences were recorded between both groups regarding to mSBI, PI, MBL and PIPD at different time intervals of follow up periods either at, (T0), (T1), (T2) and (T3) (P=1.000, 0.880, 0.838 and 0.077 respectively), (P=1.000, 0.789, 0.838 and 0.211 respectively), (P=0.400, 0.863 and 0.136 respectively) and (P=0.099, 0.204 and 0.080 respectively),. Conclusion:Osstell and Periotest systems proved to be a sensitive implant stability assessment tools. However, Osstell can be considered as a more precise and reliable fingerprint tool rather than periotest, especially when immediate loading pattern will be used.
Service Quality: A Study of Students Satisfaction in Higher Institution

For a higher educational institution, students‟ satisfaction plays an important part in the measurement of customer satisfaction in assessing service quality. Student satisfaction measures how well the expectations of a student relating to a service provided by the university. The purpose of this paper is to investigate the elements of service quality process and the learning outcome and its relationship to students‟ satisfaction level. The researcher conducted the research based on the SERVQUAL model to measure the gap between students‟ expectation for the service and their perception of actual service delivered. The five dimensions of service quality are studied, which include assurance, responsiveness, empathy, reliability, and tangibility. Several satisfaction levels were also evaluated include the student‟s satisfaction level on the service quality of the lecturers, physical facilities, the learning outcome and their demographic profiles. The data were analysed using the SPSS software. The result indicated that the students are satisfied with the quality of the lecturers, physical facilities and the learning outcome but there are certain elements in the service delivery that need to be improved. These are indicated by the gaps between students‟ expectation and their actual experience. The finding helps the management of the university understand both student expectations and perceptions of specific services, and areas that need to be improved.
The Influence of SME’s Collaboration on SME Innovation Capabilities

The ability to innovate is indispensable in a turbulent external environment. SME’s in Bantul Yogyakarta formed a group of non-formal organizations to overcome business difficulties during the pandemic by increasing business innovation capabilities. This study also aims to examine the effect of SME’s collaboration on innovation capability during the COVID-19 pandemic. This research is important to do obtain information on the effectiveness of SME collaboration to create innovation and achieve SME performance. During a pandemic where the business environment is increasingly dynamic, this research is increasingly needed to obtain an effective collaboration model. The research was conducted on 100 local processed food SME’s using a quantitative approach. The research instrument was in the form of a questionnaire equipped with interviews to obtain comprehensive data and information. The analytical tool used is WarpPLS. The results show that SME’s collaboration has a significant effect on innovation capabilities.
Balance-Subsampled Stable Prediction Across Unknown Test Data

In data mining and machine learning, it is commonly assumed that training and test data share the same population distribution. However, this assumption is often violated in practice because of the sample selection bias, which might induce the distribution shift from training data to test data. Such a model-agnostic distribution shift usually leads to prediction instability across unknown test data. This article proposes a novel balance-subsampled stable prediction (BSSP) algorithm based on the theory of fractional factorial design. It isolates the clear effect of each predictor from the confounding variables. A design-theoretic analysis shows that the proposed method can reduce the confounding effects among predictors induced by the distribution shift, improving both the accuracy of parameter estimation and the stability of prediction across unknown test data. Numerical experiments on synthetic and real-world datasets demonstrate that our BSSP algorithm can significantly outperform the baseline methods for stable prediction across unknown test data.
Electrochemical Sensing for Trifluoperazine Determination at a PTH/MWNTs Film-Modified Graphite Electrod

An electrochemical approach termed cyclic voltammetry (CV) on a graphite electrode(GrE) was used to determine the antipsychotic (TRF). Electrochemical oxidation of TRF in phosphate buffer solution at (pH6.0) revealed a peak at (0.246) V vs. (Ag/AgCl, Sat KCl electrode). A PTH /MWCNTs / GrE composite-modified electrode was created by electropolymerized Thionin on the surface of a graphite electrode with multi-wall carbon nanotubes. The analytical curve produced. under optimal conditions was linear throughout the TRF concentration range of 0. 4999 ˟ 10 -11 to521.327 ˟ 10 -11 mol L -1 , and the limits of detection (LOD) was 3.93˟10 -17 mol L -1 (S/N=3 ), The linearly anodic peak current rose in proportion to the square root of the scan rate. The goal of this study is develop a new electrode (PTH/MWCNTs/GRE) that is more sensitive and accurate at detecting TRF.
EFFECTS OF USING DRIED EGYPTIAN CLOVER AND ORANGE PEELS AS NATURAL FEED ADDITIVES ON EGG PRODUCTION EGG QUALITY AND IMMUNE RESPONSE OF LAYING HENS

The experimental work of the present study was carried out at the Poultry Research Station, Poultry Department, Faculty of Agriculture, Fayoum University. This experiment was conducted for 11 weeks to study the effect of Egyptian clover dry leaves and orange peels as natural feed additives (NFA) on laying hens. A total number of 108 HyLine W36 laying hens 49 weeks old were used. The hens were randomly distributed into 9 groups of 12 birds each. Each group was subdivided into 12 replicates (one hen / replicate) and assigned randomly for one of the experimental diets. The experimental treatments were as follows:1. Hens were fed the basal or control diet (D1). 2. Hens were fed D1+ 0.2% Egyptian clover dry leaves (ECL). 3. Hens were fed D1+ 0.4% ECL. 4. Hens were fed D1+ 0.2% dry orange peel (OP). 5. Hens were fed D1+ 0.4 % OP. 6. Hens were fed D1+ 0.2% ECL+ 0.2% OP. 7. Hens were fed D1+ 0.2% ECL+ 0.4 % OP. 8. Hens were fed D1+ 0.4% ECL + 0.2% OP. 9. Hens were fed D1+ 0.4% ECL+ 0.4 % OP. Results obtained could be summarized in the following: 1There were insignificant differences among treatments in productive performance except, egg weight (EW). It is clear that laying hens fed diet 8 (containing 0.4 ECL+0.2 OP) had higher EW, whereas, those fed control diet had lower EW during the experimental period (49 to 60 weeks of age). 2No significant differences in egg quality among all dietary treatments except, yolk color, shape index% and Haugh unit. It is clear that laying hens fed diet 9 (containing 0.4 ECL +0.4 OP) had higher yolk color, hens fed diet 7 (0.2 ECL+0.4 OP) had higher shape index%, hens fed control diet had higher Haugh unit 3The results of serum constituents indicated that NFA supplementation significantly affected triglycerides, AST and ALT values. 4There is insignificant effects on immune response as a result to NFA supplementation was found in laying hen diets throughout the whole experimental period. 5Hens fed diet 2 (containing 0.20 ECL) gave the best economical and relative efficiency values being 1.429 and 110.6 %, respectively followed by hens fed diet 7 (0.2 ECL+ 0.4 OP) (1.345 and 104.1%, respectively), diet 6 (0.2 ECL+ 0.2 OP) and than by diet 5 (0.4 OP), all of which are superior compared to the control diet. Mona S. Ragab and Hanan A. Hassan Fayoum J. Agric. Res. & Dev. , Vol. 21, No. 2, July, 2007 189 In conclusion, the best performance was seen when 0.20 ECL or 0.2 ECL+ 0.4 OP or 0.2 ECL+ 0.2 OP were incorporated as feed additives in laying diets as it gave the best economical and relative efficiency values.
Transposition.

Transposition, a word game that begins where Anagrams leaves off, starts with a group of letters which are a breakdown of the spel­ ling of the title of a well-known written work, a geographic location, the name of a prominent pe r son or athletic team, a well-known quo­ tation or slogan, and so forth. For example, the letter s A A CD E E E IL N NOO 0 P P R T TTY can be rearranged to spell the slogan TIPPECANOE AND TYLER TOO J and this is called the key. Players are not given the key as such; they are given only the let ­ ter br eakdown.
The potential use of miRNAs in forensic science

The use of molecular genetic approaches to identification of tissues and biological fluids of the body, which often provide important information for reconstruction of a potential crime, is relevant for forensic studies. MicroRNAs (miRNAs) are short, single-stranded noncoding RNAs (containing on average 18–22 nucleotides) that regulate gene expression at the post-transcriptional level by binding to the 3’-untranslated region (3’-UTR) of specific mRNA targets, which results in a decrease in protein expression by blocking translation and / or promotes degradation of target mRNAs. MiRNAs are involved in virtually all biological processes, including cell proliferation, apoptosis, and differentiation. By acting on target genes, miRNAs are involved in regulation of many pathological processes. In addition, numerous miRNAs called circulating miRNAs were found in many biological fluids of the human body, for example, in blood. Molecular genetic approaches undoubtedly outperform histological and immunological tests in tissue characterization, and miRNAs, due to their characteristic tissue specificity and stability in biological fluids, have potential for application in forensic practice and are of great interest for experts. authors