Miracle-dz/UniFAR-FTUs huggingface dataset:
Plasma (cid:1) Amyloid and the Risk of Alzheimer Disease and Dementia in Elderly Men A Prospective, Population-Based Cohort Study

Background : (cid:1) Amyloid (A (cid:1) ) protein accumulates in the brains of individuals with Alzheimer disease (AD) and is detectable in cerebrospinal fluid and plasma. Objective : To examine plasma levels of A (cid:1) peptides A (cid:1) 40 and A (cid:1) 42 as predictors of incident AD and other types of dementia. Design
Magnetic Fluid Based Squeeze Film behavior between curved circular Plates and Surface Roughness Effect

Abstract: Efforts have been directed to study and analyze the behavior of a magnetic-fluid-based squeeze film between curved rough circular plates when the curved upper plate (with surface determined by an exponential expression) approaches the stationary curved lower plate (with surface governed by a secant function). A magnetic fluid is used as the lubricant in the presence of an external magnetic field oblique to the radial axis. The bearing surfaces are assumed to be transversely rough and the related roughness is characterized via a stochastic random variable with non-zero mean variance and skewness. The associated Reynolds equation is averaged with respect to the random roughness parameter; then the related non-dimensional differential equation is solved with suitable boundary conditions in dimensionless form to obtain the pressure distribution, such a distribution being necessary for determining the expression of load carrying capacity and ensuing calculation of the response time. The results, presented graphically, indicate that the bearing system displays considerably improved performances as compared to bearing systems working with conventional lubricants. It is seen that the pressure, load carrying capacity and the response time increase with increasing the magnetization parameter. In particular, the load carrying capacity increases with respect to the upper plate’s curvature parameter, while a symmetric distribution takes place with regard to the lower plate’s curvature parameter. Even if the effect of transverse roughness is adverse in general, this investigation offers some indications for obtaining better performance in the case of negatively skewed roughness (by suitably choosing the curvature parameters of both the plates).
EFFICIENCY OF NITROGEN FIXING, NODULATION FORMATION, PHOSPHATE SOLUBILIZING BACTERIA AND PLANT GROWTH PROMOTING RHIZOBACTERIA ON YIELD OF CHICKPEA

Chickpea is an important nodules producing pulse crop of Thal. To enhance nitrogen fixation for higher yield, the effect of bacterial strains on nodulation was evaluated for yield contributing traits of chickpea at Arid Zone Research Institute, Bhakkar, Pakistan during 2019-20. Six Rhizobium inoculations i.e. Providencia vermicola, Enterobacter cloacae, Bacillus mojavensis, Mesorhizobium ciceri-11, Mesorhizobium ciceri-1 and Bacillus subtilis were tested on two chickpea genotypes i.e. Bhakkar-2011 and Thal-2020. A consortium of six bacterial strains was applied at the time of sowing as a seed coating on a sandy soil. Results showed a significant increase in height/plant, nodulation, 100 grain weight, pods/plant and grain yield (kg/ha) due to bacterial inoculation. Nodules/plant were also increased from 44.08 to 76.16. Maximum number of nodules plant -1 were counted as 76.16 with 2.59 g fresh and 0.64 g dry weight per plant in treatment combination viz. Thal-2020 × RP 08 +RS 14 +RZ 11 thus showing the specific symbiotic relationship among the genotypes and Rhizobium inoculum. In comparison to the control, the PSB, nitrogen-fixing bacteria and rhizobium inoculum results were 52 % increase in pods/ plant. The maximum number of pods/plant (116.00) and100 grain weight (27.73 g) were recorded in V 1 × T 1 (RP 08 +RS 14 + RZ 11 ). The weight of 100 grains was increased by 40% over the control. T 1 had the highest 100 grain weight of 27.73 g, followed by V1 x T 3 with a 100 grain weight of 26.22 g. PSB, nitrogen fixation bacteria and PSB inoculation substantially improved pulse crop 100 grain weight and yield. Thal-2020 had the highest grain yield of 3732 kg/ha, while V2 (Bhakkar-2011) had the lowest at 3516 kg/ha. Inoculation with rhizobium consortium improved grain yield by 30% (2617 to 3732 kg/ha). Hence, it was concluded that among all the treatments of Rhizobium consortium, N-fixing bacteria and PSB influenced a beneficial effect on chickpea grain yield quality and quantity.
IHR-11-2020-0069_proof 340..357

Purpose – Social media (SoMe) influencer marketing is a popular practice. The current study examines the interplays between SoMe influencers’ source credibility, Millennial users’ attitudes and intention to travel. It further investigates the moderating role of SoMe influencer following behavior on the aforementioned relationships. Design/methodology/approach –A total of 212 useable responses were collected through an online survey. Structural equation modeling and hierarchical multiple regressions were employed for hypotheses testing. Findings – Results indicated that source credibility had a significantly positive influence on the SoMe users’ attitudes,which in turnwas positively associatedwith the intention to visit the endorsed destination.Moreover, both relationships were strengthened for SoMe influencer followers than for nonfollowers. Originality/value – The study expanded the source credibility theory to the use of SoMe influencer marketing on travel destinations among Millennial SoMe users. In addition, the research applied the selfdetermination theory to fill the gap in literature by examining themoderating role of SoMe influencer following behavior.
An Exploration of Chinese English Language Learners’ Foreign Language Anxiety

Language anxiety is one of the challenges faced by many international students, which will influence students ’ transition to a new environment. This article provides an overview of existing research focusing on the foreign language anxiety (FLA) of Chinese English as a Foreign Language (EFL) learners. Many researchers talk about students ’ FLA experience, factors influencing FLA, especially psychological emotions related to FLA, and students ’ own strategies to cope with FLA. By reviewing previous studies, this article summarizes the implications for teachers, students, and institutions and provides suggestions for future studies.
Vocabulary-informed Language Encoding

A Multilingual model relies on language encodings to identify input languages because the multilingual model has to distinguish between the input and output languages or among all the languages for cross-lingual tasks. Furthermore, we find that language encodings potentially refine multiple morphologies of different languages to form a better isomorphic space for multilinguality. To leverage this observation, we present a method to compute a vocabulary-informed language encoding as the language representation, for a required language, considering a local vocabulary covering an acceptable amount of the most frequent word embeddings in this language. In our experiments, our method can consistently improve the performance of multilingual models on unsupervised neural machine translation and cross-lingual embedding.
Finding the Optimal Vocabulary Size for Turkish Named Entity Recognition

Transformer-based language models such as BERT [1] (and its optimized versions) have outperformed previous models achieving state-of-the-art results on many English benchmark tasks. These multi-layered self-attention-based architectures are capable of producing contextual word vector representations. However, the tokens created in the tokenization preprocessing step are not necessarily words, particularly for languages with a complex morphology. The granularity of the generated tokens is a hyperparameter to be tuned, being determined by the vocabulary size. Remarkably, the effect of this hyperparameter is not widely studied, and it is either chosen arbitrarily or via trial-and-error in practice. Considering Turkish’s complex productive morphological structure, the granularity hyperparameter plays a vital role as a significant hyperparameter to be tuned compared to English. In this work, we present novel BERT models (named ITUTurkBERT) pretrained with various vocabulary sizes from scratch on BERTurk corpus [2] and fine-tuned for named entity recognition (NER) downstream task in the Turkish language, achieving state-of-the-art performance (average 5-fold CoNLL F1 score of 0.9372) on the WikiANN dataset [3]. The empirical experiments demonstrate that increasing the vocabulary size leads to a high level of token granularity, which also achieves better NER performance.
Classification of Adolescents' Risky Behavior in Instant Messaging Conversations

Previous research on detecting risky online behavior has been rather scattered, typically identifying single risks in online samples. To our knowledge, the presented research is the first that presents a process of building models that can efficiently detect the following four online risky behavior: (1) aggression, harassment, hate; (2) mental health; (3) use of alcohol, and drugs; and (4) sexting. Furthermore, the corpora in this research are unique because of the usage of private instant messaging conversations in the Czech language provided by adolescents. The combination of publicly unavailable and unique data with high-quality annotations of specific psychological phenomena allowed us for precise detection using transformer machine learning models that can handle sequential data and involve the context of utterances. The impact of the context length and text augmentation on model efficiency is discussed in detail. The final model provides promising results with an acceptable F1 score. Therefore, we believe that the model could be used in various applications, e.g., parental applications, chatbots, or services provided by Internet providers. Future research could investigate the usage of the model in other languages.
Biomass and carbon stocks in two mangrove patches of Chettuva Estuary, south-west coast of India

Mangroves support numerous ecosystem services, including fisheries production and nutrient cycling. The role of mangroves in mitigating climate change is also well known. In the present study, the biomass and carbon sequestration potential of two dense mangrove patches located in the Chettuva estuary, south-west coast of India were assessed. The carbon stocks of above-ground biomass, root biomass and that of sediment were estimated as 325.36±54.33 t C ha -1 , 158.33±25.41 t C ha -1 and 85.6±9.15 t C ha -1 respectively. The overall mean of C-stock in two mangrove patches in the Chettuva estuary was evaluated as 569.3 t C ha -1 which is equivalent to 2,089.33 t CO 2 ha -1 and the carbon sequestration potential of the study area is estimated as 1,119.68 t C which is equivalent to 4,109.24 t CO 2 . The present results suggest that the mangrove patches in Chettuva estuary have a potential to sequester and store substantial amounts of atmospheric carbon and hence it is necessary to protect this mangrove ecosystem for climate change mitigation and sustainable management.
Convection-diffusion models for distillation columns : application to estimation and control of cryogenic air separation processes

This thesis addresses the problem of modeling the composition profiles dynamics inside cryogenic distillation columns, for control applications. We obtain a non-linear convection-diffusion model from the reduction of a singularly perturbed mass-balances model. In the control theory framework, we consider the stability of the resulting composition profiles and their observability. From the process viewpoint, we express the novelty of our model in terms of operating-conditions dependent packing efficiency. The model is validated against real dynamic plant data for a binary separation case. On a more complex, ternary separation columns cascade, the model shows highly sensitive to reflux rate estimation errors. Result adapted from the field of chromatography allows us to interpret this sensitivity in terms of erroneous coherent composition waves speeds. In parallel, we also propose and test a simple transfer functions model (based on static gains and pure delays only) for small composition dynamics, which explicitly depends on measurable or observable process data.
Integration problem based learning based bioentrepreneurship to improve entrepreneurial character and science process skills

: 4C skills are very much needed in the 21st century and the era of the industrial revolution 4.0. The 21st century is marked by the era of the industrial revolution 4.0 as the century of openness or the century of globalization. The demands of the times require students to have soft and hard skills. Mastery of hard skills and soft skillscan be realized through the integration of entrepreneurial character and science process skills (KPS) in learning. Entrepreneurial character is the character of an entrepreneur who is implemented in the entrepreneurial process. Meanwhile, science process skills are intellectual skills to acquire, develop and apply scientific concepts, principles, laws and theories, both in the form of mental skills, physical skills and social skills. Efforts to improve the soft skills and hard skills of students can be done through various methods, one of which is through Problem Based Learning (PBL). Through the PBL model, students are guided to construct their own knowledge so that learning becomes more meaningful. Teachers are expected to be able to train and integrate entrepreneurial character and science process skills. Bioentrepreneurship is a contextual biology learning approach that links the material being studied with objects or natural phenomena that exist around the lives of students. Thus, in addition to obtaining subject matter, students also have the opportunity to learn the process of processing a material into a product that is useful, has economic value and fosters interest in entrepreneurship. Through the integration of Problem Based Learning based on Bioentrepreneurship, it is hoped that it can improve the entrepreneurial character and science process skills. So as to encourage the growth of new innovators and entrepreneurs to improve student learning outcomes and science process skills.
Consumer Behavior and Factors that Influence Consumption and Customer Satisfaction

– The factors that influence purchasing behaviors and decisions are important to align customer-focused strategies that allow the development of local and international businesses. This research focuses on coffee shops and A questionnaire was conducted to a sample of 254 consumers from coffee shops representative of the city of Guayaquil with a structural equation model to evaluate 5 hypotheses. The objective was to analyze if there is a positive and significant relationship between the quality, expectations and monetary value with customer satisfaction; and the influence between satisfaction and revisit and recommendation. Research has shown that consumer loyalty depends on satisfaction and through a multigroup analysis the level of intensity of the consumption decision of women compared to men was measured.
Effects of Bufadienolides from Bufo viridis Toad Venom on Blood Biochemical Compositions and Thromboelastographic Parameters

: Bufadienolides, cyclopentanophenantrene derivatives that possess similar structures to cardiac glycosides, have been established to reveal cytotoxicity. Their higher concentrations as anticancer means are expected to affect the normal function of the heart, liver, and kidney. In this work, we established the mass ratio of bufadienolides isolated from the venom of Bufo viridis . Arenobufagin, gamabufotalin, telocinobufagin, and marinobufagin were found as the major compounds in the sum. Their effects on biological parameters, used as indicators of the normal functioning of organs, were determined in rabbits. The blood samples, taken on the 10 th and 30 th days following the drug administration, showed these paramaters reaching the control levels for 30 days in all studied doses: 0.15, 0.45, and 0.6 mg/kg. The 0.15 and 0.6 mg/kg doses were established not to cause significant changes in the activities of alanine aminotransferase and aspartate aminotransferase, and the quantities of cholesterol and fasting blood sugar in blood samples. Significant changes were found in quantities of glucose (a reduction) and urea (an increase) on the 10 th day of the administration. But their levels reached the control level for the next 20 days. We observed significant differences in thromboelastographic parameters in mice on the 10 th day after the drug administration in a 0.15 mg/kg dose. In mice, LD 50 levels of intravenous, subcutaneous, and oral administrations made 14.5, 110, and 215 mg/kg, respectively. These results enable the suggestion of optimum concentration that does not cause severe damage to the functions of organs.
1195. Vortex generator design and application on the flow control of top-mounted subsonic intake at high angle of attack

A detailed orthogonal design of a vane-type vortex generator (VG) was performed by varying angles of attack and geometrics including delta, cropped-delta, rectangle and trapezium configurations. Influences of different shapes, angles of attack and geometric parameters of VG on the wake vortex were analysed. Results show that the vortex strength and drag of the triangle VG are minimal while the vortex strength and drag of the rectangular is maximal. The rectangular configuration has the highest wake vortex core orientation, while subsequently followed by cropped-delta, trapezoid and triangle layouts. Due to the fact that mounted height and angle of attack of VG have a significant influence on the wake vortex, a coherent computational campaign was conducted on a Unmanned Aerial Vehicle (UAV) equipped with a VG in front of the top-mounted subsonic intake. The aerodynamic interference from VG are numerically examined when the UAV operated at high angles of attack. Research revealed the development of forebody vortex and the effectiveness of flow control by vortex generator on the performance of the intake. Comparing to cases without VG, the distortion index |𝐷𝐶 60 | of the intake decreased 7.1 % and 5.9 % respectively at the angle of slip 𝛽 = 2° and 4°, while the total pressure recovery remains almost the same.
Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making

We consider a new approach to solve distributionally robust optimization formulations that address nonparametric input model uncertainty in simulation-based decision making problems. Our approach for the minimax formulations applies stochastic gradient descent to the outer minimization problem and efficiently estimates the gradient of the inner maximization problem through multi-level Monte Carlo randomization. Leveraging theoretical results that shed light on why standard gradient estimators fail, we establish the optimal parameterization of the gradient estimators of our approach that balances a fundamental tradeoff between computation time and statistical variance. We apply our approach to nonconvex portfolio choice modeling under cumulative prospect theory, where numerical experiments demonstrate the significant benefits of this approach over previous related work.
Revealing Halal Tourist Destinations in Banjarmasin, Indonesia: Prospects and Challenges

The growth of halal tourism industry in South Kalimantan seems to be left behind other provinces in Indonesia whereas this province is considered to have many potentials to develop the industry. This situation is exacerbated by the exclusion of this province as one of the mainstays of halal tourist destinations set by the Ministry of Tourism in 2015. This study attempts to reveal the potential of halal tourism in South Kalimantan, especially Banjarmasin as the capital of the province. The study is intended to explore the various halal tourist destinations available in Banjarmasin and to examine the prospects and challenges of developing the halal tourism industry in the city. The study was conducted with a qualitative approach and analyzed using the descriptive-analytic method. It is found that Banjarmasin has the splendor of religious, natural, historical as well as shopping and culinary tourist destinations. All this provide a big opportunity to attract both domestic and overseas visitors. Given this exceptional opportunity, a number of strategic and technical efforts are required to further increase the growth of this industry in Banjarmasin.
Antiepileptic Effect of Musa paradisiaca Stem Juice on Pentylenetetrazole (PTZ)-induced Seizures in Albino Rats

: Musa paradisiaca stem juice (MPSJ) found an extensive use in folklore medicine, but its antiepileptic properties are yet to be scientifically proven, hence, the aim of this study. Pentylenetetrazole (PTZ)-induced seizure model was adopted, involving twenty-four (n=24) adult male albino rats, randomly distributed into six (6) groups of four animals each (n=4). Group 1 received saline (p.o); group 2 was untreated; group 3 received 4 mg/kg b.w diazepam (p.o); while groups 4, 5 and 6 received 50, 75 and 100% (v/v) of MPSJ (p.o), respectively. The treatment lasted for 10 days before rats were challenged with PTZ (85 mg/kg b.w, i.p) after 45 min. Group 6 showed a significant (p < 0.05) increase in brain GABA level compared to that of the untreated group. Groups 5 and 6 showed a significant (p < 0.05) reduction in glutamate level and GABA-T activities compared to that of group 2. There were significant (p < 0.05) increases in the levels of CAT and SOD of group 6 rats compared to those of the untreated groups, except the GSH that was not statistically signiﬁcant (p > 0.05). Group 6 showed a significantly (p < 0.05) higher SOD concentration when compared to group 2. The MDA level of group 4 was significantly (p < 0.05) reduced compared to that of group 2. The neuronal necrosis produced by PTZ was ameliorated in group 4 rats and the normal histo-architecture of the brain was restored. This study suggests MPSJ has protective effects against PTZ-induced seizures in rats.
Analysis of Factors Affecting Waiting Time Outpatient BPJS HKBP Balige Hospital

RSUHKBP Baligeisone ofthe private hospitalsthat has been working with the BPJS since 2014. The challenge for hospitals today is how the available resources can provide the best service with a low-cost operational service process. One thing that can be improved is patient satisfaction, which can be seen in the patient’s waiting time. Waiting time is the time the patient spends waiting from the time he arrives to being examined by a doctor. Based on observations and interviews, the waiting time for outpatients at RSU HKBP Balige is 2–3 h, while the standard waiting time for outpatients based on Keputusan Kemenkes No. 129/Menkes/SK/II/2008 is ≤ 60 min. This study aims to determine what factors affect the length of waiting time for outpatients in RSU HKBP Balige and are grouped using Root Cause Analysis. Based on observations, there are queues at several points of patient service, so simulations are performed to determine the performance of the queuing system using Monte Carlo Simulation. The results of this study indicate that the factors causing waiting time are the length of time for registration, the length of time for searching and delivering medical records, and thelengthoftimewaitingforthedoctor.ForsolutionsofferedbasedonRootCause Analysisare:applyingonlineortelephoneregistration,applyinge-medicalrecords topatientmedicalrecords,installingBPJSregistrationcountersigns,enforcing databasesthatcanbeaccessedofﬂineifsignaldisturbancesoccur,andcleaning theregistrationcounterareaBPJS10minbeforetheservicehourstarts.