Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiency and effectiveness of knowledge management systems in SMEs

Abstract This paper proposes a 3D fuzzy logic methodology to assess the efficiency and effectiveness of knowledge management systems (KMSs) adopted by small and medium enterprises (SMEs) and identifies a classification bringing together the behaviour of SMEs when adopting KMSs. The proposed methodology was previously tested on an individual SME and then implemented on a sample of SMEs. The results highlight that there is an ample variety of behaviours related to the nature of knowledge and the KMSs used. Specifically, four typologies of behaviour are identified: the efficient and effective SME, the effective but inefficient SME, the efficient but ineffective SME, and the inefficient and ineffective SME. The results show that only 18% of surveyed SMEs are efficient and effective for both KM-Tools and KM-Practices, the remaining 82% are inefficient or ineffective for KM-Tools and/or KM-Practices. Lastly, the paper shows how this methodology may be used by an SME as a managerial tool to suggest appropriate changes to improve the efficient and effective adoption of KMSs supporting SMEs in the knowledge management processes.
Knowledge of Sickle Cell Disease Among Medical Students at Al-Baha University, Saudi Arabia: A Cross-Sectional Study

Background: Sickle cell disease (SCD) presents a major health challenge in Saudi Arabia due to its high prevalence. The important role of medical students as future healthcare leaders necessitates high awareness and knowledge about the disease. Aim: To assess SCD awareness among Al-Baha University medical students, and to evaluate its relation to gender and academic level. Methods: A cross-sectional study was conducted, including 105 medical students from the first to sixth year at Al-Baha University. Data collection utilized an online self-administered questionnaire, covering demographic characteristics and assessing SCD knowledge. Fisher's exact and Pearson Chi-squared tests were employed to analyze associations between gender, academic level, and SCD awareness. Results: The majority of male participants 52 (89.6%) and all females 47 (100%) demonstrated awareness of SCD. Clinical year enrollment (68.6%) correlated with heightened awareness across various aspects of SCD compared to the preclinical year. Most participants were in clinical years (68.6%), and 94.3% of them had knowledge about SCD. Approximately, 75 (71%) of participants correctly identified features of sickle cell crisis, 83 (79%) reported the accurate cause of SCD, and 75 (71%) cited the appropriate preventive measures. Only 15 (14%) demonstrated knowledge of correct management of SCD. Contrarily, 84 (80%) were aware of SCD complications, 66 (63%) recognized different SCD types, 67 (64%) felt adequately informed about SCD, and 34 (32%) were involved in SCD counseling. Male participants exhibited greater awareness of SCD features than females. Notably, involvement in SCD counseling was more prevalent among students of clinical years. Conclusion: This study underscores the need for targeted educational initiatives, particularly among preclinical year students to enhance SCD awareness among students. We also emphasize the role of clinical education in fostering a comprehensive understanding of SCD, with increased participation in counseling programs.
Survey on Multi-Task Learning in Smart Transportation

Artificial Intelligence (AI) has been widely adopted in numerous fields and enabled various smart systems because of its strong ability to perform tasks, including prediction, event detection, and status estimation, among others. As one of the typical smart systems empowered by AI and Internet of Things (IoT) technologies, the smart transportation system has made dramatic progress for traditional transportation in numerous aspects, including autonomous driving, smart traffic lights, navigation, and traffic forecasting, among others. Deep learning is an essential component to enable such smart systems. Typically, specific deep learning models, e.g., Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN), can be trained on collected transportation data for a particular task. However, traditional deep learning techniques rely on data sufficiency to build an effective model. Additionally, each trained model can only work on one single task. This has limited the efficacy of deep learning techniques in numerous application scenarios. To this end, multi-task learning (MTL) has been studied to train a single model that can work for multiple tasks. This technique effectively allows the learning model to expand to specific tasks with only a limited amount of data affiliated. In the meantime, MTL significantly reduces the training time of each task. The success of MTL requires that there are potential relationships among different tasks. Many tasks in the smart transportation system are related. For instance, traffic speed and vehicle volume estimations for each road are highly correlated. Based on this, research on applying MTL in smart transportation systems has been studied recently. This paper reviews the recent efforts to use MTL in smart transportation systems and conducts an extensive survey to provide insights. In particular, we categorize the MTL applications in smart transportation systems into traffic forecasting, traffic sign recognition, vehicle recognition, travel time estimation, road safety estimation, taxi demand prediction, and autonomous driving. Ultimately, we discuss challenges and future research directions in applying MTL in smart transportation systems.
Energy Consumption during Produciton of Corn Extrudates in Relation to the Process Parameters

Abstract The objective of the paper was to determine the impact of the rotational screw speed and the level of moisture of raw material on the efficiency and energy consumption of the extrusion-cooking process. Measurement of the extrusion-cooking process efficiency (Q) was carried out through determination of the extrudates mass and energy consumption was determined with the use of a specific mechanical energy (SME). Based on the research results it was found out that the factor which significantly decides on the measured values was a rotational screw speed. Along with the increase of this parameter the energy consumption and extrusion-cooking process efficiency increased during processing of corn grits. Extrusion-cooking process efficiency depended also on the level of moisture of raw material. At lower moisture of raw material the efficiency decreased along with the increase of the screw speed and above 18% of the moisture level it increased. Reverse relation was reported during testing the energy consumption of the extrusion-cooking process.
Human Papillomavirus Infections and the Role Played by Cervical and Cervico-Vaginal Microbiota—Evidence from Next-Generation Sequencing Studies

Simple Summary This review explores the impact of cervical microbiome changes on human papillomavirus (HPV) using next-generation sequencing (NGS). HPV poses global health concerns, from benign lesions to cervical cancer. The cervical microbiome, a unique microorganism collection in the cervix, is crucial for cervical health. Recent research suggests that disruptions in the cervical microbiome, marked by reduced Lactobacillus and bacterial overgrowth, may heighten HPV persistence and cervical abnormalities. NGS technology has transformed cervical microbiome studies, revealing insights into microbial diversity and dynamics. Bacterial 16S rRNA gene sequencing proves valuable in understanding the cervical microbiome’s role in HPV infections. NGS-based studies provide personalized insights into individuals’ cervical microbiomes, holding promise for novel diagnostic tools, therapies, and preventive interventions for cervical conditions, including cancer. The research aims to enhance global women’s health through a comprehensive understanding of the cervical-microbiome–HPV relationship. Abstract This comprehensive review encompasses studies examining changes in the cervical and cervico-vaginal microbiota (CM and CVM) in relation to human papillomavirus (HPV) using next-generation sequencing (NGS) technology. HPV infection remains a prominent global health concern, with a spectrum of manifestations, from benign lesions to life-threatening cervical cancers. The CM and CVM, a unique collection of microorganisms inhabiting the cervix/vagina, has emerged as a critical player in cervical health. Recent research has indicated that disruptions in the CM and CVM, characterized by a decrease in Lactobacillus and the overgrowth of other bacteria, might increase the risk of HPV persistence and the progression of cervical abnormalities. This alteration in the CM or CVM has been linked to a higher likelihood of HPV infection and cervical dysplasia. NGS technology has revolutionized the study of the cervical microbiome, providing insights into microbial diversity, dynamics, and taxonomic classifications. Bacterial 16S rRNA gene sequencing, has proven invaluable in characterizing the cervical microbiome, shedding light on its role in HPV infections and paving the way for more tailored strategies to combat cervical diseases. NGS-based studies offer personalized insights into an individual’s cervical microbiome. This knowledge holds promise for the development of novel diagnostic tools, targeted therapies, and preventive interventions for cervix-related conditions, including cervical cancer.
A modeling study of the effect of runoff variability on the effective pressure beneath Russell Glacier, West Greenland

Basal sliding is a main control on glacier flow primarily driven by water pressure at the glacier base. The ongoing increase in surface melting of the Greenland Ice Sheet warrants an examination of its impact on basal water pressure and in turn on basal sliding. Here we examine the case of Russell Glacier, in West Greenland, where an extensive set of observations has been collected. These observations suggest that the recent increase in melt has had an equivocal impact on the annual velocity, with stable flow on the lower part of the drainage basin but accelerated flow above the Equilibrium Line Altitude (ELA). These distinct behaviors have been attributed to different evolutions of the subglacial draining system during and after the melt season. Here we use a high‐resolution subglacial hydrological model forced by reconstructed surface runoff for the period 2008 to 2012 to investigate the cause of these distinct behaviors. We find that the increase in meltwater production at low elevation yields a more efficient drainage system compatible with the observed stagnation of the mean annual flow below the ELA. At higher elevation, the model indicates that the drainage system is mostly inefficient and is therefore strongly sensitive to an increase in meltwater availability, which is consistent with the observed increase in ice velocity.
Conceptualizing embeddedness as a key dimension for analyzing journalistic cultures

The study of journalistic cultures has a long history in communication research. Yet, much scholarship has been criticized for emanating too much from normative and—particularly in the case of comparative work—ethnocentric assumptions. While much progress has been made, the field arguably still suffers from these imbalances, restricting a more holistic understanding of journalistic cultures. This article aims to address this gap by proposing a repurposed concept for the study of journalistic cultures that focuses on the extent to which journalists are embedded in communities’ experiences, values, histories, places, and languages. Following an overview and explication of how embeddedness has been used in journalism scholarship, but also in other disciplines, we argue that the term provides an opportunity to better contextualize journalistic cultures, contributing to a less normatively dismissive and more explanatory approach to analyzing journalism and comparing journalistic cultures.
IS-CAT: Intensity–Spatial Cross-Attention Transformer for LiDAR-Based Place Recognition

LiDAR place recognition is a crucial component of autonomous navigation, essential for loop closure in simultaneous localization and mapping (SLAM) systems. Notably, while camera-based methods struggle in fluctuating environments, such as weather or light, LiDAR demonstrates robustness against such challenges. This study introduces the intensity and spatial cross-attention transformer, which is a novel approach that utilizes LiDAR to generate global descriptors by fusing spatial and intensity data for enhanced place recognition. The proposed model leveraged a cross attention to a concatenation mechanism to process and integrate multi-layered LiDAR projections. Consequently, the previously unexplored synergy between spatial and intensity data was addressed. We demonstrated the performance of IS-CAT through extensive validation on the NCLT dataset. Additionally, we performed indoor evaluations on our Sejong indoor-5F dataset and demonstrated successful application to a 3D LiDAR SLAM system. Our findings highlight descriptors that demonstrate superior performance in various environments. This performance enhancement is evident in both indoor and outdoor settings, underscoring the practical effectiveness and advancements of our approach.
Moderate-High Blood Eosinophilia Is Associated with Increased Hospitalization and Other Asthma Comorbidities

(1) Background: Eosinophilia has traditionally been linked to eosinophilic asthma, for which it is the gold-standard prognostic biomarker. However, the association between eosinophilia and the presence of other diseases and comorbidities is yet unclear. (2) Methods: For this retrospective study, we reviewed the electronic medical records of 49,909 subjects with blood eosinophilia to gather data on the presence of asthma, COPD, sleep apnea, tuberculosis, dyslipidemia, hypertension, and other cardiovascular diseases and severe CRSwNP among these subjects. Demographic features including age, sex, and smoking habits were collected, as well as the number of hospitalizations and emergency department visits. T-tests, ANOVA, Fisher test, and logistic regression models were used. (3) Results: For all age groups studied, eosinophilia was significantly more prevalent among asthmatic subjects than nonasthmatics, especially in patients also presenting CRSwNP, hypertension, and dyslipidemia. The likelihood of developing asthma, COPD, and CRSwNP, and hospitalization, was increased when BEC was above 600 eosinophils/μL. The association between asthma, CRSwNP, and BEC was corroborated by multiple logistic regressions models. (4) Conclusions: We demonstrated the association of having over 600 blood eosinophils/μL with a higher number of hospitalizations and comorbidities (CRSwNP and COPD), which proves that BEC is a highly useful parameter to consider in subjects who present blood eosinophilia.
A NEW EOSAUROPTERYGIAN FROM MIDDLE TRIASSIC OF EASTERN YUNNAN PROVINCE,SOUTHWESTERN CHINA

A new eosauropterygian,Diandongosaurus acutidentatus gen.et sp.nov.,is described based on a skeleton from the Upper Member of Guanling Formation(Middle Anisian)of Luoping County, Yunnan Province,southwestern China.This new species displays a combination of traits seen in nothosauroids(Simosaurus and nothosaurians)and pachypleurosaurs(Dactylosaurus,Anarosaurus, Serpianosaurus,and Neusticosaurus),It has an unconstricted snout,preorbital region longer than the postorbital region,and a supratemporal fenestra smaller than the orbit,as in the pachypleurosaurs.On the other hand,it bears enlarged and procumbent teeth in the premaxilla and the anterior dentary,and one or two fang-like maxillary teeth,as in the nothosaurs.In this new species,the frontals and the parietals are fused,the posterolateral process of the frontal extends posteriorly over the anterior margin of the supratemporal fenestra,the postorbital is excluded from the infratemporal fenestra by the jugal-squamosal contact,the quadratojugal is present,the clavicle has an anterolateral projection,and the three sacral and anterior caudal ribs are distally pinched off but not constricted.Unlike in most of other stem eosauropterygians,the prefrontal and the postfrontal meets each other along the dorsal margin of the orbit,the descending ramus of the squamosal reaches the articular condyle of the quadrate,caudal ribs 3 to 8 are elongate and longer than sacral ribs,and the ungual phalanxes of the pes are extremely dorsoventrally expanded.Our phylogenetic analysis suggests that Diandongosaurus is neither a pachypleurosaur nor a nothosauroid;it might be the sister group of the clade consisting of Wumengosaurus, the nothosauroids and those taxa traditionally considered as pachypleurosaurs.
Reduction of Hydrogen Sulphide in Chicken Manure by Immobilized Sulphur Oxidising Bacteria Isolated from Hot Spring

The rapid development of the poultry industry has led to the production of large amounts of manure, which produce substances like hydrogen sulfide (H2S) that contribute to odor pollution. H2S is a highly undesirable gas component and its removal from the environment is therefore necessary. Sulfur-oxidizing bacteria (SOB) are widely known to remove contaminating H2S due to their ability to oxidize reduced sulfur compounds. In this study, three potential SOB (designated AH18, AH25, and AH28) that were previously isolated from a hot spring in Malaysia were identified by 16S rRNA gene analysis. Laboratory-scale biological deodorization experiments were conducted to test the performance of the three isolates—in the form of pure or mixed cultures, with the cells immobilized onto alginate as a carrier—in reducing the H2S from chicken manure. On the basis of 16S rRNA phylogenetic analysis, isolate AH18 was identified as Pseudomonas sp. , whereas isolates AH25 and AH28 were identified as Achromobacter sp. The most active deodorizing isolate was AH18, with an H2S reduction rate of 74.7% (p < 0.05). Meanwhile, the reduction rates for isolates AH25 and AH28 were 54.2% and 60.8% (p > 0.05), respectively. However, the H2S removal performance was enhanced in the mixed culture, with a reduction rate of 81.9% (p < 0.05). In conclusion, the three potential SOB isolates were capable of reducing the H2S from chicken manure in the form of a pure culture immobilized on alginate, and the reduction performance was enhanced in the mixed culture.
Analysis Of Structural Assurance, Integrity, Easy of Use And Brand Image On Trust In Use Of P2P Lending

Peer to Peer (P2P) lending has a role as an intermediary platform for lenders and borrowers to conduct transactions without having to go through bank. However, so many P2P Lending cases that reduce public confidence in using P2P Lending. Gradana is one of the P2P lending companies registered with the Financial Services Authority (OJK). Although P2P lending investors have decisions that refer to adverse selection, Gradana shows good performance. This study aims to analyse the factors that influence trust in using P2P lending by adopting trust theory. The sample was 100 respondents from retail investors in Indonesia. The study using SmartPLS4 software. The results showed that integrity has a positive influence and significant on trust in use, while brand image, ease of use and structural assurance has no positive impact on trust in use. The results are expected as reference for companies in increasing the trust of P2P lending users.
Phenology and allocation of belowground plant carbon at local to global scales

Forests play an important role in mitigating climate change by removing carbon dioxide (CO2) from the atmosphere via photosynthesis and storing it in plant tissues and soil organic matter (SOM). Plant roots are a major conduit for transporting recently fixed CO2 belowground, where carbon (C) remains in SOM or returns to the atmosphere via respiration of soil microbes. Compared to aboveground plant processes related to the C cycle, there is little understanding of how belowground plant-C allocation to roots, symbiotic root fungi and secretions into the soil influence the gain or loss of C from the soil. Further, the uncertainty in the timing and amount of root growth that occurs in forests is a barrier to understanding how root activity responds to global change and feeds back to the C cycle. Therefore, the objective of my research is to quantify the timing and magnitude of C allocation to roots and soil via data compilation, field studies and modeling across broad spatial scales. Using data compilation at the global scale, I show that root and shoot phenology are often asynchronous and that evergreen trees commonly have later root growth compared to deciduous trees using meta-analysis across four
13. Problem Mobile Phone Use in Spanish and British Adolescents: First steps towards a cross-cultural research in Europe

: The problematic use of mobile phones in some adolescents is a cause for concern throughout the world, although this problem has rarely been studied in more than one culture. The Mobile Phone Problem Use Scale (MPPUS) has been considered a gold standard, and recently has been adapted to adolescents (MPPUSA) to estimate problem users’ prevalence and their characteristics. A mixed methods approach was used through a questionnaire administered to a European sample of 2356 (48% Spanish and 52% British adolescents) aged between 11 and 18 years (M=14.05, SD=1.729; 60.9% male). The problem users’ prevalence, with a cut-off point extracted from the 95 th percentile score estimated 14.9% in Spain and 5.1% in United Kingdom. These potential problem users presented higher scores in the symptomatology measured by the scale in comparison with those considered non-problematic, and the classification proposed showed an excellent accuracy. However, cultural differences has been detected between both user’s countries in relation with the addictive symptoms presented, standing out were withdrawal symptoms against the negative consequences, also commonalities appeared in this psychosocial problem. In conclusion, the findings which appear similar to other technological addictions; therefore, the first steps are proposed to study based on cyber-addictions in a cross-cultural perspective.
PENGARUH LINGKUNGAN KELUARGA DAN MINAT MEMBACA TERHADAP HASIL BELAJAR EKONOMI SISWA KELAS XI ILMU PENGETAHUAN SOSIAL SEKOLAH MENENGAH ATAS NEGERI KOTA PADANG

The purposeof this researchwas to knowandanalyze: (1) The influence offamilyenvironmentonstudents'interest inreadingclass XIIShigh schools inthe city of Padang(2) The influenceoffamily environmentandinterest inreadingforclass XIstudent learning result IShigh schools inthe city of Padang.This kind of this researchbelong tothe causativedescriptivestudywitha population of1,779students. The sampling techniqueused aProportionalStratifiedRandom Samplingtakenbased onschoolaccreditation. The sampletotaled327studentstakenfrom theentirepopulation. The primary datainthis study were obtainedfromquestionnairesthatwere distributed tothe respondents, whilesecondary data was dataassociated with the objectsof the research presentedbyother parties, namelystudent learning outcomes datafromthe value ofthe EndSemesterExamination(UAS) of Economicssubjects. Data analysis techniquesusedby usingpath analysiswithSPSS version15.00. Toexamine thehypothesisusedthe F testandt test. The results of this research ere: (1) There isa significanteffect offamily environmentonstudents'interest inreadingclass XIISSMA NegeriPadang(2) There isa significanteffect offamily environmentandinterest inreadingforclass XIstudent learning result of IS class on SMA NegeriPadang. Adviceto parentstopay attention tothe environmental aspects offamilyandchildren in order toincrease interest inreadinglearning result are achievedfor the better.