Miracle-dz/UniFAR-FTUs huggingface dataset:
Does Financial Inclusion Affect Health Among Older Adults? Evidence from Indonesia

While financial inclusion is widely acknowledged as a means to enhance the welfare of all ages, currently, there is no empirical research examining its effects on the health of older adults in Indonesia. This study, therefore, aims to fill the gap by investigating the impact of financial inclusion on the health of older adults in Indonesia using data from the March 2021 National SocioEconomic Survey (SUSENAS). The binary logistics regression was used to assess that effect. The findings reveal that financial inclusion positively benefits the health of older adults in Indonesia, highlighting the importance of policy-making that promotes financial inclusion programs to improve the health outcomes of older adults.JEL Classification: G2, I1, C31How to Cite:Abdurrahman, A. , & Haryanto, T. (2023). Does Financial Inclusion Affect Health among Older Adults? Evidence from Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 12(2), 327-340. https://doi.org/10.15408/sjie.v12i2. 32001
Various tomato cultivars display contrasting morphological and molecular responses to a chronic heat stress

Climate change is one of the biggest threats that human society currently needs to face. Heat waves associated with global warming negatively affect plant growth and development and will increase in intensity and frequency in the coming years. Tomato is one of the most produced and consumed fruit in the world but remarkable yield losses occur every year due to the sensitivity of many cultivars to heat stress (HS). New insights into how tomato plants are responding to HS will contribute to the development of cultivars with high yields under harsh temperature conditions. In this study, the analysis of microsporogenesis and pollen germination rate of eleven tomato cultivars after exposure to a chronic HS revealed differences between genotypes. Pollen development was either delayed and/or desynchronized by HS depending on the cultivar considered. In addition, except for two, pollen germination was abolished by HS in all cultivars. The transcriptome of floral buds at two developmental stages (tetrad and pollen floral buds) of five cultivars revealed common and specific molecular responses implemented by tomato cultivars to cope with chronic HS. These data provide valuable insights into the diversity of the genetic response of floral buds from different cultivars to HS and may contribute to the development of future climate resilient tomato varieties.
Joint Beamforming for RIS-Assisted Integrated Communication, Sensing and Power Transfer Systems

This letter studies a reconfigurable intelligent surface (RIS)-aided integrated communication, sensing and power transfer systems. We aim to maximize the received energy from the energy harvester by jointly optimizing the (active) transmit beamforming at the BS and (passive) reflect beamforming by the phase shift of the RIS, subject to the Cramér-Rao bound for the target, the received signal-to-noise ratio (SNR) at the information decoding receiver and the transmit power constraint at the BS. To solve this non-convex problem with coupled variables, we decouple it into two subproblems and introduce an alternating optimization framework. The transmit beamforming sub-problem is recast into a convex form using the Schur complement and semidefinite relaxation techniques. Subsequently, auxiliary variables are introduced to transform the phase shift sub-problem into a convex problem. Simulation results show that the proposed algorithm can significantly improve the received energy while ensuring communication and sensing performance.
Mid and long term hydrology forecast model and its application

It is difficult to gather forecast factors in hydrology forecast in small and medium watersheds. This paper presents a fuzzy clustering forecast model(FCFM) to predict mid and long-term hydrology in rainy seasons, based upon the annually FCFM and the periodicity of the hydrology. The developed model extends the applicability of FCFM from annual predictions to rainy-season predictions, and it is capable of extracting forecast factors from the periodicity of the rainy-reason runoffs. The model was employed to forecast the rainy-season hydrology of the Fengtan drainage area and satisfactory results were obtained.
Realistic Fingerprint Presentation Attacks Based on an Adversarial Approach

Modern Fingerprint Presentation Attack Detection (FPAD) modules have been particularly successful in avoiding attacks exploiting artificial fingerprint replicas against Automated Fingerprint Identification Systems (AFISs). As for several other domains, Machine and Deep Learning strongly contributed to this success, with all recent state-of-the-art detectors leveraging learning-based approaches. An insidious flip side is represented by adversarial attacks, namely, procedures intended to mislead a target detector. Indeed, despite this type of attack has been considered unrealistic, as it presupposes access to the communication channel between the sensor and the detector, in a recent work, we have highlighted the possibility of transferring a fingerprint adversarial attack from the digital domain to the physical one. In this work, we take a step further by introducing a new procedure designed to make the physical adversarial presentation attack i) more robust to the physical crafting of the PAI by exploiting explainability techniques, ii) easier to adapt to different fingerprint scanners and adversarial algorithms, and iii) usable in a black-box scenario. To quantify the impact of these novel adversarial presentation attacks family, designed to be robust to the physical crafting process, we assess the performance of both state-of-the-art PAD modules alone and integrated AFISs. Results highlight the approach’s feasibility, opening a new series of threats in the context of fingerprint PAD.
Pohybové aktivity pohledem sociologie

Pohybove aktivity patři k zakladnim fyziologickým potřebam clověka, třebaže nedostatek pohybu zpravidla nepociťujeme tak intenzivně jako nedostatek potravy ci tekutin. Kniha předniho ceskeho experta v oboru sociologie sportu obsažně a komplexně zachycuje nejpalcivějsi problemy, ktere v souvislosti s nedostatkem tělesneho pohybu tiži soucasnou euroamerickou populaci. Obecně zname a dilcim způsobem zpracovavane sociologicke aspekty sedaveho způsobu života jsou zde zřejmě poprve v ceských podminkach popsany detailně, sevřeně a v přislusnem kontextu.
Aortic root enlargement in patients undergoing mitral and aortic replacement: early outcomes in a sub-Saharan population

Introduction Aortic root enlargement (ARE) is often required to avoid patient–prosthesis mismatch (PPM) in young patients undergoing aortic surgery, including those undergoing combined mitral and aortic valve replacement (double valve replacement, DVR). Adding ARE to DVR may increase the operative risk by extending the surgical time. Herein, we review our experience with ARE in patients who underwent DVR. Materials and methods The medical records of 69 patients who underwent DVR at our institution between February 2008 and November 2021 were retrospectively reviewed. The patients were divided into two groups according to the ARE procedure (ARE-DVR: 25 patients; DVR: 44 patients). Descriptive and comparative analyses of demographic, clinical, and surgical data were performed. Results Among the 69 patients who underwent DVR, 35 were women (sex ratio, 0.97). The mean age at surgery was 26.7 ± 13.9 years (range: 7–62 years). Among the 47 patients aged ≤30 years, 40.4% (19/47) were aged between 10 and 20 years, and 6.3% (3/47) were aged <10 years. Patients in the ARE-DVR group were younger (23.3 ± 12.9 years vs. 28.5 ± 14.2 years, p < 0.05). The New York Heart Association Class ≥III dyspnea was the most common symptom (89.9%), with no differences between the two groups. Of all the patients, 84.1% had sinus rhythm. Rheumatic disease was the most common etiology in the entire cohort (91.3%). The mean aortic annulus diameter was 20.54 mm, with smaller sizes found in the ARE-DVR group (18.00 ± 1.47 mm vs. 22.50 ± 2.35 mm, p < 0.05). The aortic cross-clamping duration was greater in the ARE-DVR group (177.6 ± 37.9 min vs. 148.3 ± 66.3 min, p = 0.047). The operative mortality rate was 5.6% for the entire cohort (ARE-DVR: 8% vs. DVR: 4.5%, p = 0.46). Among the patients who underwent echocardiographic control at follow-up, the mean aortic gradient was 19.6 ± 7.2 mmHg (range: 6.14–33 mmHg), with no differences among the groups. Conclusion The association between ARE and DVR did not significantly affect operative mortality. ARE can be safely used whenever indications arise to reduce the occurrence of PPM, especially in young patients with growth potential.
The effect of early colonized gut microbiota on the growth performance of suckling lambs

The early colonized gut microbiota during the newborn period has been reported to play important roles in the health and immunity of animals; however, whether they can affect the growth performance of suckling lambs is still unclear. In this study, a total of 84 newborn lambs were assigned into LF-1 (top 15%), LF-2 (medium 70%), and LF-3 (bottom 15%) groups according to their average body weight gain at 30 days of age. Fecal samples of lambs (LF) as well as feces (MF), vagina (VAG), colostrum (COL), teat skin (TEAT) samples of ewes, and the air sediment (AIR) in the delivery room were collected 72 h after birth, and then the 16S rRNA gene was sequenced on the Illumina MiSeq platform. The results showed that the early colonized gut microbiota had a significant effect on the growth performance of suckling lambs with alpha and beta diversity (p < 0.05), and we observed that the contribution of early colonized bacteria on the growth performance of lambs increased with age (from BW30 at 25.35% to BW45 at 31.10%; from ADG30 at 33.02% to ADG45 at 39.79% by measuring the relative effects of factors that influence growth performance). The early colonized gut microbiota of suckling lambs with high growth performance was similar to that in VAG, MF, and AIR (p < 0.05). With the RandomForest machine learning algorithm, we detected 11, 11, 6, and 4 bacterial taxa at the genus level that were associated with BW30, BW45, ADG30, and ADG45 of suckling lambs, respectively, and the correlation analysis showed that Butyricicoccus, Ruminococcus_gnavus_group, Ruminococcaceae_Other, and Fusobacterium could significantly affect the growth performance (BW30, BW45, ADG30, and ADG45) of suckling lambs (p < 0.05). In conclusion, the early colonized gut microbiota could significantly affect the growth performance of suckling lambs, and targeting the early colonized gut microbiota might be an alternative strategy to improve the growth performance of suckling lambs.
Exploring Gender Stereotypes among Filipina Gamers of Mobile Legends: A Phenomenological Study

In the present time, not only men but also women feel a lot of pressure to have skills and strengths that would fit into society's standards in the online gaming world. This study aims to investigate how Filipina gamers experience gender stereotyping and how they cope with the negative stereotypes they have encountered while playing Mobile Legends (ML). The study consisted of sixteen (16) Filipina participants coming from different places in the Philippines. A qualitative method was used through a hermeneutic phenomenological approach to better understand the common gender stereotypes experienced by Filipina ML players and their ways of coping. Based on the findings, the Filipina gamers of ML are being stereotyped as weak and incompetent because of their gender identity. They are also being underestimated and discriminated against as they are exploited as support hero characters, and lesbianism is being attributed to them due to their presence in the male-dominated game community. In terms of coping mechanisms, Filipina ML players tend to ignore these negative comments, dedication, and enthusiasm to play well, and their time of playing is limited. Future studies may consider the experiences of female players in other online gaming platforms and game categories to achieve varied results.
Identifying Macrophage-Related Genes in Ulcerative Colitis Using Weighted Coexpression Network Analysis and Machine Learning

Ulcerative colitis (UC) is an inflammatory bowel disease of unknown cause that typically affects the colon and rectum. Innate intestinal immunity, including macrophages, plays a significant role in the pathological development of UC. Using the CIBERSORT algorithm, we observed elevated levels of 22 types of immune cell infiltrates, as well as increased M1 and decreased M2 macrophages in UC compared to normal colonic mucosa. Weighted gene coexpression network analysis (WGCNA) was used to identify modules associated with macrophages and UC, resulting in the identification of 52 macrophage-related genes (MRGs) that were enriched in macrophages at single-cell resolution. Consensus clustering based on these 52 MRGs divided the integrated UC cohorts into three subtypes. Machine learning algorithms were used to identify ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1), sodium- and chloride-dependent neutral and basic amino acid transporter B(0+) (SLC6A14), and 3-hydroxy-3-methylglutaryl-CoA synthase 2 (HMGCS2) in the training set, and their diagnostic value was validated in independent validation sets. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) revealed the main biological effects, and that interleukin-17 was one of several signaling pathways enriched by the three genes. We also constructed a competitive endogenous RNA (CeRNA) network reflecting a potential posttranscriptional regulatory mechanism. Expression of diagnostic markers was validated in vivo and in biospecimens, and our immunohistochemistry (IHC) results confirmed that HMGCS2 gradually decreased during the transformation of UC to colorectal cancer. In conclusion, ENPP1, SLC6A14, and HMGCS2 are associated with macrophages and the progression of UC pathogenesis and have good diagnostic value for patients with UC.
Anthropometric and Cephalometric Facial Characteristics of Adult Saudi Patients with Skeletal Class III Malocclusions

Objectives: We aimed to assess adult Saudi patients' facial anthropometry and cephalometric characteristics with skeletal Class III malocclusions compared to Class I malocclusion patients. Materials and Methods: Our cross-sectional study included a review of the orthodontic records of 108 patients: 54 patients with skeletal Class III malocclusions and 54 patients with skeletal Class I malocclusions, equally distributed between males and females. Using anthropometric landmarks, seven angular and eight linear measurements were recorded and compared between Class III and Class I patients. In addition, we compared three horizontal facial proportions and three horizontal neoclassical canons between the two groups. Finally, we used Student's t-tests to compare continuous variables and Chi-square tests for categorical variables. Results: Class III patients had significantly larger mandibular length, mandibular plane angle, mid- and lower-anterior face height, and posterior face height (P < 0.05) compared to Class I patients. Class III patients had significantly proclined upper incisors, retroclined lower incisors, and an obtuse interincisal angle (P < 0.05). The mouth: nose ratio differed significantly between skeletal Class III and I patients (P = 0.008). The orbital canon was valid in 14.8% of Class I and 9.3% of Class III patients, respectively. The orbitonasal proportion applied only to 31.5% and 20.4% of Class I and III patients, respectively. The naso-oral canon occurred in 18.5% and 1.9% of Class I and III patients, respectively. Conclusion: Saudis with Class III skeletal profiles have some distinctive Class III characteristics not observed in most other ethnic groups. The established horizontal facial proportions, neoclassical facial canons, and Class III skeletal profile did not apply to Saudis with skeletal Class I malocclusions, indicating that these proportions and characteristics may not be suitable as references when planning the surgical treatment for these patients.
In vitro protective effect of recombinant prominin-1 combined with microRNA-29b on N-methyl-D-aspartate-induced excitotoxicity in retinal ganglion cells.

AIM To determine the in vitro protective effect of recombinant prominin-1 (Prominin-1)+microRNA-29b (P1M29) on N-methyl-D-aspartate (NMDA)-induced excitotoxicity in retinal ganglion cells (RGCs). METHODS RGC-5 cells were cultured, and NMDA-induced excitotoxicity at the range of 100-800 µmol/L was assessed using the MTT assay. NMDA (800 µmol/L) was selected as the appropriate concentration for preparing the cell model. To evaluate the protective effect of P1M29 on the cell model, Prominin-1 was added at the concentration of 1-6 ng/mL for 48h, and the cell survival was investigated with/without microRNA-29b. After obtaining the appropriate concentration and time of P1M29 at 48h, real-time polymerase chain reaction (PCR) was utilized to detect the relative mRNA expression of vascular endothelial growth factor (VEGF) and transforming growth factor (TGF)-β2. Western blot detection was applied to measure the phosphorylation levels of protein kinase B (AKT) and extracellular regulated protein kinases (ERK) in RGC-5 cells after treatment with Prominin-1. Apoptosis study of the cell model was conducted by flow cytometry for estimating the anti-apoptotic effect of P1M29. Immunofluorescence analysis was used to analyze the expression levels of VEGF and TGF-β2. RESULTS MTT cytotoxicity assays demonstrated that P1M29 group had significantly higher cell survival rate than Prominin-1 group (P<0.05). Real-time PCR data indicated that the expression levels of VEGF were significantly increased in both Prominin-1 and P1M29 groups compared NMDA and microRNA-29b group (P<0.05), while TGF-β2 were significantly decreased in both microRNA-29b and P1M29 groups compared NMDA and Prominin-1 group (P<0.05). Western blot results showed that both Prominin-1 and P1M29 groups significantly increased the phosphorylation levels of AKT and ERK compared to NMDA and microRNA-29b groups (P<0.05). Flow cytometry analysis revealed that P1M29 could prevent RGC-5 cell apoptosis in the early stage of apoptosis, while immunofluorescence results showed that P1M29 group had higher expression of VEGF and lower expression of TGF-β2 with a stronger green fluorescence than NMDA group. CONCLUSION Prominin-1 combined with microRNA-29b can provide a suitable therapeutic option for ameliorating NMDA-induced excitotoxicity in RGC-5 cells.
Observations on the Waterbirds of Jiwani Wetland Complex, Makran Coast (Balochistan)

Jiwani has been identified as an important wetland complex of coastal and inland wetlands for waterbirds. It is also a Ramsar site (Wetland of International Importance). This paper reports 81 species of waterbirds belonging to 6 orders and 16 families from the area during the period 2000 - 2004.
Predicting Office Workers’ Productivity: A Machine Learning Approach Integrating Physiological, Behavioral, and Psychological Indicators

This research pioneers the application of a machine learning framework to predict the perceived productivity of office workers using physiological, behavioral, and psychological features. Two approaches were compared: the baseline model, predicting productivity based on physiological and behavioral characteristics, and the extended model, incorporating predictions of psychological states such as stress, eustress, distress, and mood. Various machine learning models were utilized and compared to assess their predictive accuracy for psychological states and productivity, with XGBoost emerging as the top performer. The extended model outperformed the baseline model, achieving an R2 of 0.60 and a lower MAE of 10.52, compared to the baseline model’s R2 of 0.48 and MAE of 16.62. The extended model’s feature importance analysis revealed valuable insights into the key predictors of productivity, shedding light on the role of psychological states in the prediction process. Notably, mood and eustress emerged as significant predictors of productivity. Physiological and behavioral features, including skin temperature, electrodermal activity, facial movements, and wrist acceleration, were also identified. Lastly, a comparative analysis revealed that wearable devices (Empatica E4 and H10 Polar) outperformed workstation addons (Kinect camera and computer-usage monitoring application) in predicting productivity, emphasizing the potential utility of wearable devices as an independent tool for assessment of productivity. Implementing the model within smart workstations allows for adaptable environments that boost productivity and overall well-being among office workers.
Search , Product Recommendations , and Sales Concentration ∗

Personalization mechanisms such as recommender systems play an important role in online retail, and recent empirical contributions nd that they reduce the concentration of sales and increase sales volume within product assortments. But the underlying drivers of these e ects are not yet well understood. I present a model to explain the role of product recommendations on consumers' product discovery process and their implications for the rm. Consumers face a search problem within an assortment of horizontally di erentiated products supplied by a monopolist, and may search for a product match by drawing products from the assortment or by seeking product recommendations from other consumers. I analyze the underlying consumer interactions that lead to the emergence of word of mouth, provide a rationale for the rm's adoption of personalization mechanisms such as recommender systems which generate personalized recommendations, and evaluate the impact on sales concentration, sales volume, rm prices, and rm pro ts. The model explains how personalization mechanisms contribute to lower the concentration of sales and is well suited for experience good markets such as music, cinema, literature and video game entertainment.
Relationships between Heart Chamber Morphology or Function and Respiratory Parameters in Patients with HFrEF and Various Types of Sleep-Disordered Breathing

Sleep-disordered breathing (SDB), i.e., central sleep apnea (CSA) and obstructive sleep apnea (OSA), affects the prognosis of patients with heart failure with reduced ejection fraction (HFrEF). The study assessed the relationships between heart chamber size or function and respiratory parameters in patients with HFrEF and various types of SDB. The 84 participants were patients aged 68.3 ± 8.4 years (80% men) with an average left ventricular ejection fraction (LVEF) of 25.5 ± 6.85% who qualified for cardioverter-defibrillator implantation with or without cardiac resynchronization therapy. SDB, defined by an apnea–hypopnea index (AHI) ≥ five events/hour, was diagnosed in 76 patients (90.5%); SDB was severe in 31 (36.9%), moderate in 26 (31.0%), and mild in 19 (22.6%). CSA was the most common type of SDB (64 patients, 76.2%). A direct proportional relationship existed only in the CSA group between LVEF or stroke volume (SV) and AHI (p = 0.02 and p = 0.07), and between LVEF or SV and the percentage of total sleep time spent with hemoglobin oxygen saturation < 90% (p = 0.06 and p = 0.07). In contrast, the OSA group was the only group in which right ventricle size showed a positive relationship with AHI (for basal linear dimension [RVD1] p = 0.06), mean duration of the respiratory event (for RVD1 p = 0.03, for proximal outflow diameter [RVOT proximal] p = 0.009), and maximum duration of respiratory event (for RVD1 p = 0.049, for RVOT proximal p = 0.006). We concluded that in HFrEF patients, SDB severity is related to LV systolic function and SV only in CSA, whereas RV size correlates primarily with apnea/hypopnea episode duration in OSA.