Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Personal Engagement of Single Mother Involvement in Business: Qualitative Study

Throughout history, motherhood is normally equated to femininity but nowadays, they are struggling to survive to face the reality. A single mother refers to the absence of a co-resident husband and which is known as “ibu tunggal” in Malay language. Although the income level of single mothers in the business field is quite low, the participation of single mothers in business is considered active due to their strong personal engagement and motivation toward business. The idea of this research was triggered based on a suggestion and an observation whereby only some of the single mothers were sustained in business for more than 5 years. A qualitative method is used in the research as it determined the process of gathering and collecting the data. Among the reasons that influence single mothers’ choice to be businesswomen were self-decision and which is considered the highest factor to continue the business; living condition improvement; perception from society; support and aid from family, friends, and other agencies; and the inspiring concept of “icon”.
Importance of Punctual Monitoring to Evaluate the Health Effects of Airborne Particulate Matter

Particulate matter (PM) pollution is one of the major public health problems worldwide, given the high mortality attributable to exposure to PM pollution and the high pathogenicity that is found above all in the respiratory, cardiovascular, and neurological systems. The main sources of PM pollution are the daily use of fuels (wood, coal, organic residues) in appliances without emissions abatement systems, industrial emissions, and vehicular traffic. This review aims to investigate the causes of PM pollution and classify the different types of dust based on their size. The health effects of exposure to PM will also be discussed. Particular attention is paid to the measurement method, which is unsuitable in the risk assessment process, as the evaluation of the average PM compared to the evaluation of PM with punctual monitoring significantly underestimates the health risk induced by the achievement of high PM values, even for limited periods of time.
Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition

Recently, emotional electroencephalography (EEG) has been of great importance in brain–computer interfaces, and it is more urgent to realize automatic emotion recognition. The EEG signal has the disadvantages of being non-smooth, non-linear, stochastic, and susceptible to background noise. Additionally, EEG signal processing network models have the disadvantages of a large number of parameters and long training time. To address the above issues, a novel model is presented in this paper. Initially, a deep sparse autoencoder network (DSAE) was used to remove redundant information from the EEG signal and reconstruct its underlying features. Further, combining a convolutional neural network (CNN) with long short-term memory (LSTM) can extract relevant features from task-related features, mine the correlation between the 32 channels of the EEG signal, and integrate contextual information from these frames. The proposed DSAE + CNN + LSTM (DCRNN) model was experimented with on the public dataset DEAP. The classification accuracies of valence and arousal reached 76.70% and 81.43%, respectively. Meanwhile, we conducted experiments with other comparative methods to further demonstrate the effectiveness of the DCRNN method.
In situ conservation challenges of Brackenridgea zanguebarica Oliv.: A South African case study

Abstract. Rasethe MT. 2022. In situ conservation challenges of Brackenridgea zanguebarica Oliv. : A South African case study. Biodiversitas 23: 3876-3883. This qualitative study probed the factors that are hindering the successful management of Brackenridgea zanguebarica Oliv, a South African plant that is listed as Critically Endangered on the South African Red Data List. The plant is restricted to one state-owned nature reserve in the Limpopo province, South Africa. Brackenridgea zanguebarica is a threatened medicinal plant sought after by laypeople and traditional healers and often found in muthi markets across South Africa. In this country, this species is confined to the Thengwe village in the Vhembe district of the Limpopo province. Information on this species was collected using semi-structured questionnaires and focus group discussions during face-to-face interviews with all conservationists employed in the state-owned nature reserve. The interviews were complemented by extensive field observation on the population status of B. zanguebarica across the reserve. The results showed that B. zanguebarica is mainly being managed using environmental regulations and patrols in reserve to arrest and charge persons found in the reserve harvesting B. zanguebarica. The reserve only has seven permanent officials. They do their work without firearms to protect themselves from poachers and no cars are used during patrols due to the lack of proper roads in the mountainous area. The conservation officers mentioned that there is always new evidence of illegal harvesting of B. zanguebarica across the nature reserve. Field observation of the harvested populations indicated high levels of unsustainable harvesting. The harvesting reported by conservation officials and observed is of concern and will increase the risk of extinction of this species. The implementation of regulations as the sole management tool for this species in the Brackenridgea Nature Reserve is not enough, resulting in a situation where the current management of B. zanguebarica in reserve is not effective.
Adipocyte-Specific Laminin Alpha 4 Deletion Preserves Adipose Tissue Health despite Increasing Adiposity

Laminins are heterotrimeric glycoproteins with structural and functional roles in basement membranes. The predominant laminin alpha chain found in adipocyte basement membranes is laminin α4 (LAMA4). Global LAMA4 deletion in mice leads to reduced adiposity and increased energy expenditure, but also results in vascular defects that complicate the interpretation of metabolic data. Here, we describe the generation and initial phenotypic analysis of an adipocyte-specific LAMA4 knockout mouse (Lama4AKO). We first performed an in-silico analysis to determine the degree to which laminin α4 was expressed in human and murine adipocytes. Next, male Lama4AKO and control mice were fed chow or high-fat diets and glucose tolerance was assessed along with serum insulin and leptin levels. Adipocyte area was measured in both epididymal and inguinal white adipose tissue (eWAT and iWAT, respectively), and eWAT was used for RNA-sequencing. We found that laminin α4 was highly expressed in human and murine adipocytes. Further, chow-fed Lama4AKO mice are like control mice in terms of body weight, body composition, and glucose tolerance, although they have larger eWAT adipocytes and lower insulin levels. High-fat-fed Lama4AKO mice are fatter and more glucose tolerant when compared to control mice. Transcriptionally, the eWAT of high-fat fed Lama4AKO mice resembles that of chow-fed control mice. We conclude from these findings that adipocyte-specific LAMA4 deletion is protective in an obesogenic environment, even though overall adiposity is increased.
PERANCANGAN INFRASTRUKTUR JARINGAN KOMPUTER DALAM KONSEP MEMBANGUN SERANG MENUJU SMART CITY

Smart City didefinisikan sebagai kota yang mampu menggunakan SDM, modal sosial, dan infrastruktur telekomunikasi modern untuk mewujudkan pertumbuhan ekonomi berkelanjutan dan kualitas kehidupan yang tinggi, dengan manajemen sumber daya yang bijaksana melalui pemerintahan berbasis partisipasi masyarakat. Kota serang sebagai salah satu ibukota provinsi di pulau jawa masih belum menerapkan konsep smart city sebagai solusi untuk menyelesaikan persoalan perkotaan mereka, malahan lebih mengedepankan cara-cara konvensional yang tidak terintegrasi satu sama lain. Penerapan konsep smart city yang dilakukan di Jepang tersebut telah dimulai sejak 2010. Namun, pemikiran ini nampaknya masih kesulitan diimplementasikan oleh sejumlah negara-negara berkembang, termasuk Indonesia. Konsep ini masih baru, sehingga penelitian dan pengembangan konsep ini masih terus dilakukan. Penelitian ini mencoba membuat rancangan infrastruktur jaringan smartcity di kota serang menggunakan Zachman Framework yang merupakan salah satu metode Enterprise Architecture Planning (EAP) yang banyak digunakan diseluruh dunia dalam perancangan sistem yang mana di dalam metode ini perencanaan dilakukan dengan langkah-langkah yang sistematis, mudah dipahami dan dapat dijadikan kontrol untuk pengembangan system informasi ke depan. Hasil penelitian ini berupa blue print rancangan infrastuktur jaringan komputer yang dipetakan didalam bentuk matrik “where” pada kerangka Zachman yang dilihat dari sudut pandang Planner dan Owner. Dengan menggunakan Zachman Framework dapat diperoleh informasi secara detail tentang bagaimana infrastruktur jaringan komputer dirancang, segala kebutuhan baik data, sumber daya manusia dan infrastruktur yang mendukung berjalannya infrastruktur jaringan komputer.
Catalytic Performance of Cobalt(II) Polyethylene Catalysts with Sterically Hindered Dibenzopyranyl Substituents Studied by Experimental and MLR Methods

Given the great importance of cobalt catalysts supported by benchmark bis(imino)pyridine in the (oligo)polymerization, a series of dibenzopyran-incorporated symmetrical 2,6-bis(imino) pyridyl cobalt complexes (Co1–Co5) are designed and prepared using a one-pot template approach. The structures of the resulting complexes are well characterized by a number of techniques. After activation with either methylaluminoxane (MAO) or modified MAO (MMAO), the complexes Co1–Co4 are highly active for ethylene polymerization with a maximum activity of up to 7.36 × 106 g (PE) mol−1 (Co) h−1 and produced highly linear polyethylene with narrow molecular weight distributions, while Co5 is completely inactive under the standard conditions. Particularly, complex Co3 affords polyethylene with high molecular weights of 85.02 and 79.85 kg mol−1 in the presence of MAO and MMAO, respectively. The 1H and 13C NMR spectroscopy revealed the existence of vinyl end groups in the resulting polyethylene, highlighting the predominant involvement of the β-H elimination reaction in the chain-termination process. To investigate the mechanism underlying the variation of catalytic activities as a function of substituents, multiple linear regression (MLR) analysis was performed, showing the key role of open cone angle (θ) and effective net charge (Q) on catalytic activity.
Cognitive fatigability assessment test (cFAST): Development of a new instrument to assess cognitive fatigability and pilot study on its association to perceived fatigue in multiple sclerosis

Background Fatigue is a common symptom of many diseases, including multiple sclerosis. It manifests as a cognitive or physical condition. Fatigue is poorly understood, and effective therapies are missing. Furthermore, there is a lack of methods to measure fatigue objectively. Fatigability, the measurable decline in performance during a task, has been suggested as a complementary method to quantify fatigue. Objective To develop a new and objective measurement of cognitive fatigability and investigate its association with perceived fatigue. Methods We introduced the cognitive fatigability assessment test (cFAST), a novel smartphone-based test to quantify cognitive fatigability. Forty-two people with multiple sclerosis (23 fatigued and 19 non-fatigued, defined by the Fatigue Scale for Motor and Cognitive Functions) took part in our validation study. Patients completed cFAST twice. We used t-tests, Monte Carlo sampling, and area under the receiver operating characteristic curves to evaluate our approach using two sets of proposed metrics. Results When classifying fatigue, our fatigability metric Δresponse time has a mean area under the receiver operating characteristic curve of 0.74 (95% CI 0.64–0.84), making it the best performing metric for this task. Furthermore, Δresponse time shows a statistically significant difference between the fatigued and non-fatigued groups (t = 2.27, P = .03). Particularly, cognitively-fatigued patients decline in performance, while non-fatigued patients do not. Conclusions We introduce cFAST, a new instrument to quantify cognitive fatigability. Our pilot study provides evidence that cognitive fatigability assessment test produces a quantifiable drop in cognitive performance in a short period. Furthermore, our results indicate that cFAST may have the potential to serve as a surrogate for subjective cognitive fatigue. cFAST is significantly shorter than the existing fatigability assessments and does not require specialized equipment. Thus, it could enable frequent and remote monitoring, which could substantially aid clinicians in better understanding and treating fatigue.
Antimicrobial activity of different kinds of traditional vinegar and its relationship with antioxidant properties

Vinegar is obtained from fruit and various vegetable sources by ethanol and acetic acid fermentation. Different production methods are used in vinegar production. Traditional vinegar has higher quality than industrial vinegar because it contains high amounts of bioactive compounds. When the results obtained in this study are examined, it can be concluded that the antioxidant, phenolic and organic acid content is effective on the antimicrobial effect of vinegar. The vinegar with the highest antimicrobial activity was determined as pomegranate vinegar against the gram-positive microorganism group and apple vinegar against the gram-negative microorganism group in this research. The purpose of this study was to determine the antimicrobial activity of different kinds of vinegar (apple vinegar, grape vinegar, hawthorn vinegar, sour cherry vinegar, pomegranate vinegar) produced with the traditional method on some important foodborne pathogens (Escherichia coli, Enterococcus faecalis, Staphylococcus aureus, Campylobacter jejuni) by using antimicrobial disc diffusion method. Besides, the examination of organic acid content, antioxidant capacity and phenolic compounds of the vinegar, also their relationship with the antimicrobial effect was examined.
Effects of Microencapsulated Ferulic Acid or Its Prodrug Methyl Ferulate on Neuroinflammation Induced by Muramyl Dipeptide

Ferulic acid (Fer) is known for its antioxidant and anti-inflammatory activities, which are possibly useful against neurodegenerative diseases. Despite the ability of Fer to permeate the brain, its fast elimination from the body does not allow its therapeutic use to be optimized. The present study proposes the preparation and characterization of tristearin- or stearic acid-based solid lipid microparticles (SLMs) as sustained delivery and targeting systems for Fer. The microparticles were produced by conventional hot emulsion techniques. The synthesis of the methyl ester of Fer (Fer-Me) allowed its encapsulation in the SLMs to increase. Fer-Me was hydrolyzed to Fer in rat whole blood and liver homogenate, evidencing its prodrug behavior. Furthermore, Fer-Me displayed antioxidant and anti-inflammatory properties. The amount of encapsulated Fer-Me was 0.719 ± 0.005% or 1.507 ± 0.014% in tristearin or stearic acid SLMs, respectively. The tristearin SLMs were able to control the prodrug release, while the stearic acid SLMs induced a significant increase of its dissolution rate in water. Jointly, the present results suggest that the tristearin SLMs loaded with Fer-Me could be a potential formulation against peripheral neuropathic pain; conversely, the stearic acid SLMs could be useful for Fer-Me uptake in the brain after nasal administration of the formulation.
Systematic Characterization of Epidemiology, Antifungal Susceptibility, Risk Factors and Outcomes of Candidaemia: A Six-Year Chinese Study

Background Candida bloodstream infection (BSI), the fourth most common nosocomial BSI, is an urgent global health challenge with the tremendous growth in antifungal resistance rate and mortality rate. Purpose To establish the epidemiology, species distribution, risk factors, and 30-day mortality of candidaemia among 115 patients in this 6-year surveillance study. Materials and Methods We retrospectively analyzed the clinical characteristics, epidemiology, antifungal susceptibility patterns, and risk factors for morbidity and mortality of 115 candidaemia cases diagnosed in one tertiary care hospital from January 2016 through December 2021. Results Of the 115 candidaemia cases, the most prevalent species were Candida tropicalis (33.0%), followed by Candida albicans (27.8%), Candida parapsilosis complex (19.1%), and others. The overall incidence was 0.21 cases/1000 admissions. The overall crude resistance rate of Candida spp. against azoles was 20.0% (23/115), while Candida tropicalis showed a significant increase in the resistance rate to azoles (from 1/6, 16.7% in 2017 to 6/10, 60.0% in 2021). Multivariate analyses demonstrated that hematological malignancy and neutropenia were significantly associated with Candida tropicalis BSI than Candida non-tropicalis BSI. Candida albicans BSI had a significantly higher rate of previous surgery than Candida non-albicans BSI. Candida parapsilosis BSI had a significantly higher rate of receiving total parenteral nutrition (TPN). The overall 30-day mortality rate was 27.0% (31/115). The presence of high age-adjusted Charlson comorbidity index (aCCI), neutropenia, and septic shock were factors independently associated with increased 30-day mortality. Conclusion Candida tropicalis are emerging as the predominant isolate in candidaemia. Of note, the unexpectedly increased resistance rate to azoles in Candida tropicalis BSI was observed. The aCCI scores, neutropenia, and septic shock were independently associated with 30-day mortality. Prompt, adequate antifungal treatment among high-risk patients may lead to a reduction in mortality.
On the performance analysis of flexible pairing between UAV and GU in NOMA

: The wireless communications regarding unmanned aerial vehicles (UAVs) have been investigated for the usage of base stations (BS) to provide Internet access. This paper presents the usage of a UAV as a pairing user to enhance the sum capacity by flexible pairing in nonorthogonal multiple access (NOMA). In the proposed scheme, the UAVs and the ground users (GUs) get paired to promote the line-of-sight (LoS) characteristics. The performance of flexible pairing is presented in terms of sum capacity, outage probability, and throughput with the LoS path loss. Channel modeling is necessary to apply flexible pairing by utilizing the LoS characteristic as a special case. Moreover, the height of the UAV is calculated based on the elevation angle. It is revealed that the LoS path loss determines the effect on the channel covariance. The analysis of the flexible pairing is shown with Monte Carlo-based simulation and analytic results are validated to maximize throughput.
Soil Pore Network Complexity Changes Induced by Wetting and Drying Cycles—A Study Using X-ray Microtomography and 3D Multifractal Analyses

Soils are dynamic and complex systems in their natural state, which are subjected to profound changes due to management. Additionally, agricultural soils are continuously exposed to wetting and drying (W-D) cycles, which can cause modifications in the complexity of their pores. Thus, we explore how successive W-D cycles can affect the pore network of an Oxisol under contrasting managements (conventional tillage—CT, minimum tillage—MT, no tillage—NT, and secondary forest—F). The complexity of the soil pore architecture was evaluated using a 3D multifractal approach combined with lacunarity, Shannon’s entropy, and pore geometric parameters. Our results showed that the multifractal approach effectively identified and quantified the changes produced in the soil pore architecture by the W-D cycles. The lacunarity curves revealed important aspects of the modifications generated by these cycles. Samples under F, NT, and MT suffered the most significant changes. Pore connectivity and tortuosity were largely affected by the cycles in F and NT. Our findings demonstrated that the 3D geometric parameters and normalized Shannon’s entropy are complementary types of analysis. According to the adopted management, they allowed us to separate the soil into two groups according to their similarities (F and NT; CT and MT).
Gut Microbiome and Metabolome Modulation by Maternal High-Fat Diet and Thermogenic Challenge

The gut microbiota plays a critical role in energy homeostasis and its dysbiosis is associated with obesity. Maternal high-fat diet (HFD) and β-adrenergic stimuli alter the gut microbiota independently; however, their collective regulation is not clear. To investigate the combined effect of these factors on offspring microbiota, 20-week-old offspring from control diet (17% fat)- or HFD (45% fat)-fed dams received an injection of either vehicle or β3-adrenergic agonist CL316,243 (CL) for 7 days and then cecal contents were collected for bacterial community profiling. In a follow-up study, a separate group of mice were exposed to either 8 °C or 30 °C temperature for 7 days and blood serum and cecal contents were used for metabolome profiling. Both maternal diet and CL modulated the gut bacterial community structure and predicted functional profiles. Particularly, maternal HFD and CL increased the Firmicutes/Bacteroidetes ratio. In mice exposed to different temperatures, the metabolome profiles clustered by treatment in both the cecum and serum. Identified metabolites were enriched in sphingolipid and amino acid metabolism in the cecum and in lipid and energy metabolism in the serum. In summary, maternal HFD altered offspring’s response to CL and altered microbial composition and function. An independent experiment supported the effect of thermogenic challenge on the bacterial function through metabolome change.
LONG-TERM HYDROLOGICAL DROUGHT ANALYSIS IN AGRICULTURAL IRRIGATION AREA: THE CASE OF DÖRTYOL-ERZIN PLAIN, TURKEY

In recent years, with the effect of the climate change, drought is accepted as one of the most important natural disasters. In the planning, development and management processes of water resources, studies on the analysis of past droughts and the decreasing of possible negative effects in the future, have become even more substantial. The best adaptation to drought risk can only be achieved by adopting holistic approaches. In this study, Dörtyol-Erzin Plain, which is located in the south of Turkey and covers the fertile agricultural lands of the Asi River Basin with a drainage area of approximately 7800 km2, was preferred as the case study for hydrological drought analysis. In the literature, it is stated that there is a slow drought progress for the Asi River Basin. It is highlighted that decreasing trend in groundwater and increasing trend in evaporation and temperature parameters are remarked. Since the agricultural irrigation of Dörtyol-Erzin Plain is dependent on groundwater and surface resources, hydrological drought analysis over the long period will be beneficial for the future studies. Accordingly, Streamflow Drought Index (SDI) method was used for the hydrological drought analysis by using 35 years of flow data between the years of 1986-2020. The open source “SPI_SL_6. exe” program via National Drought Mitigation Center (NDMC) was operated in the calculations. Drought results were analyzed at different time scales of 3, 6, 12, 24 and 48 months, afterwards relevant graphs and tables were created. Consequently, the longest dry period has been determined between 2008 and 2012 water years, while the wet period has been evaluated between 2003 and 2007 ones. Furthermore, it is concluded that SDI values decreased as the monthly time periods increased, while the maximum indice values were obtained with SDI-3 in all drought periods. When all graphs are examined detailed, it can be expressed long-term droughts for certain water years are notable.