Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of West Texas Intermediate Crude-oil Price Using Hybrid Attention-based Deep Neural Networks: A Comparative Study

Crude oil, as a prerequisite for many industries, is vital in today’s world. In this regard, predicting its future price is crucial for many purposes. Even though plenty of research has been done in this field with many methods, such as evolutionary algorithms, neural networks (NN), and other machine learning techniques, because of the extremely unpredictable nature of crude oil prices, the outcomes are not satisfactory. This study employs 39 features for oil price prediction and proposes a hybrid architecture for deep NNs (DNN) to take advantage of features in different periods. Attention-based DNNs are utilized in the proposed architecture, and the comparisons are based on the mean absolute error. The results show that (1) attention-based DNNs are useful for forecasting the crude oil price with many features, and (2) the proposed architecture can enhance the accuracy of previous models.
Length-weight relationship of Benthosema pterotum (myctophid) in the deep scattering layer (DSL) of the eastern Arabian Sea

The samples were collected by using Isaac Kid-Midwater Trawl (IKMT) onboard FORV Sagar Sampada during the deep scattering layer (DSL) survey from 1998-2000 of the eastern Arabian Sea (AS). Length-weight (LW) relationships have been carried out for the most commonly occurring myctophid species Benthosema pterotum of the DSL. The LW relationship was W = 0.00000753 L 3.13145 (r= 0.973708) for males and W = 0.000007379 L 3.13529 (r = 0.974880) for females. From the studies it has been noticed that growth in relation to length and weight deviate appreciably from the cube law. It is also found that there are no significant differences between males and females of the species.
Industrial Parsing of Software Manuals

of the parser in recognising the prescribed features. At various points, decisions had to be made about what counted as a given feature. We have taken the category of verb to include auxiliary verbs, and also present and past participles where these are constituents of a verb phrase but not otherwise. Thus \the sun is rising" contains two verbs, while \the rising sun" contains none. In the category of noun we have included: verb nouns such as \hunt-ing" in a phrase like \the hunting of the snark", proper nouns, and also phrases like \Edit/Cut" in sentence L24. We have excluded pronouns (though these have the same category as noun in our parsing scheme) and also nouns used to modify other nouns such as \source" in \source sentence". We have taken compounds to mean strings, mainly names, which are indivisible units from the grammatical point of view but are written with white space between them; examples in the IPSM test set are \Word for Windows 6.0" (T2) and \Translate Until Next Fuzzy Match" (T8). ALICE attempts to identify such phrases in preprocessing, using capitalisation as the main clue. A number of questions arise in evaluating the analysis of phrase boundaries. Our categorial formalism commits us to a subject-predicate analysis which is equivalent to a set of PSG rules of binary form only, so that for instance a conjunction of sentences has to be analysed as the application of \and" to one sentence to produce a modiier of the other sentence; but from a grammatical point of view it is an arbitrary choice which sentence is seen as modifying the other. Other examples of arbitrary choices involve attachment, where very often there is no semantic diierence between diierent ways of bracketing a sequence of noun or verb modiiers (the problem of \spurious ambiguity"). It is thus not possible to compare an actual parse with an ideal parse, because there is often more than one correct way of parsing a sentence. Furthermore, our formalism commits us to deep rather than shallow nesting of phrases inside each other, so that errors are very liable to be propagated upwards: for instance, where a verb fails to attach to one of three arguments, the three phrases in which the argument should have been nested will all be wrongly analysed. We have therefore chosen to assign scores to boundaries between words. Any two neighbouring words will belong …
Insulator Defect Detection and Recognition Utilizing Stochastic Configuration Network and Convolutional Neural Network

Power outages on transmission lines are often caused by insulator failure. However, low insulator detection efficiency, poor generalization of insulator defect feature extraction methods, and a scarcity of defective insulator samples have made it challenging to detect and recognize insulator defects. To address these issues, a new method based on stochastic configuration networks (SCNs) and convolutional neural networks (CNNs) has been proposed. This method employs deep transfer learning and is capable of detecting and recognizing insulator defects. The YOLOv7 CNN is used to extract the insulator region, while the StyleGanv3 convolutional adversarial generative network generates defect insulator images. Next, the ResNet CNN extracts semantic information from insulator images as feature vectors, which are classified by the Stochastic Configuration Networks classifier. Experimental results indicate that this method is effective in detecting the insulator area and identifying insulator defects.
High-beta oscillations at EEG resting state and hyperconnectivity of pain circuitry in fibromyalgia: an exploratory cross-sectional study

Background Electroencephalography (EEG) has identified neural activity in specific brain regions as a potential indicator of the neural signature of chronic pain. This study compared the lagged coherence connectivity between regions of interest (ROIs) associated with the pain connectome in women with fibromyalgia (FM) and healthy women (HC). Methods We evaluated 64 participants (49 FM and 15 HC) during resting-state EEG sessions under both eyes open (EO) and eyes closed (EC) conditions. In addition to EEG measurements, we assessed clinical and psychological symptoms and serum levels of brain-derived neurotrophic factor (BDNF). The connectivity between eight ROIs was computed across eight different EEG frequencies. Results The FM group demonstrated increased connectivity between the left dorsolateral prefrontal cortex (DLPFC) and right anterior cingulate cortex (ACC), specifically in the beta-3 frequency band (t = 3.441, p = 0.044). When comparing the EO and EC conditions, FM patients exhibited heightened interhemispheric connectivity between insular areas (t = 3.372, p = 0.024) and between the left insula (INS) and right DLPFC (t = 3.695, p = 0.024) within the beta-3 frequency band. In the EC condition, there was a negative correlation between pain disability and connectivity in the beta-3 frequency band between the left ACC and the left primary somatosensory cortex (SI; r = −0.442, p = 0.043). In the EO condition, there was a negative correlation between central sensitization severity and lagged coherence connectivity in the alpha-2 frequency band between the right ACC and left SI (r = 0.428, p = 0.014). Moreover, in the EO–EC comparison, the lagged coherence connection between the left DLPFC and right INS, indexed by the gamma frequency band, showed a negative correlation with serum BDNF levels (r = −0.506, p = 0.012). Conclusion These findings indicate that increased connectivity between different pain processing circuits, particularly in the beta-3 frequency band during rest, may serve as neural biomarkers for the chronic pain brain signature associated with neuroplasticity and the severity of FM symptoms.
The role of social media marketing (SMM) in building frozen food brand loyalty

Social media platforms help businesses connect, communicate, and access information, boosting brand loyalty and awareness. This study aims to determine the relationship between social media marketing, brand engagement, and brand trust toward customer experience and brand loyalty. The focus is on the importance of the role of social media marketing for frozen food brands. The paper uses a descriptive research design and a quantitative approach where data were collected by distributing online questionnaires among frozen food consumers through Google Forms. The selected 250 respondents were located in big cities in Indonesia, such as Jakarta, Bogor, Depok, Tangerang, and Bandung. The data were processed using SmartPLS v.4. 0.0 to examine the results of the outer and inner models. The results show that social media marketing has a significant effect on brand trust. In addition, brand engagement has a significant effect on customer experience. Then, social media marketing has an insignificant effect on brand engagement. Brand trust has an insignificant effect on customer experience. Next, the customer experience has an insignificant impact on brand loyalty. In addition, a frozen food company’s social media advertising might not be able to reach its intended audience, which leads to little engagement. To preserve consistency and transparency, a brand should maintain open communication, a customer-centric strategy, and customer engagement through messaging, dialogues, and user-generated content.
Artificial modification of atmospheric space charge

Artificially produced space charge of positive or negative polarity was released into the atmosphere at a rate of about 1 milliampere from an electrified horizontal wire 14 km long. Operating characteristics of this apparatus are described. Electrical measurements from an airplane show that the charge from the wire mixed rapidly into the lower atmosphere and caused large perturbations in the fair-weather electric potential gradient and space charge. These perturbations extended downwind 10 km or more. When there was convection, the charge was rapidly carried aloft by thermal updrafts. The artificial charge appears to be a good tracer for micrometeorological studies of atmospheric circulation.
Cytogenetics of the Hybridogenetic Frog Pelophylax grafi and Its Parental Species Pelophylax perezi

Abstract Hybrid taxa from the genus Pelophylax can propagate themselves in a modified way of sexual reproduction called hybridogenesis ensuring the formation of clonal gametes containing the genome of only one parental (host) species. Pelophylax grafi from South-Western Europe is a hybrid composed of P. ridibundus and P. perezi genomes and it lives with a host species P. perezi (P-G system). Yet it is unknown, whether non-Mendelian inheritance is fully maintained in such populations. In this study, we characterize P. perezi and P. grafi somatic karyotypes by using comparative genomic hybridization, genomic in situ hybridization, fluorescent in situ hybridization, and actinomycin D-DAPI. Here, we show the homeology of P. perezi and P. grafi somatic karyotypes to other Pelophylax taxa with 2n = 26 and equal contribution of ridibundus and perezi chromosomes in P. grafi which supports F1 hybrid genome constitution as well as a hemiclonal genome inheritance. We show that ridibundus chromosomes have larger regions of interstitial (TTAGGG)n repeats flanking the nucleolus organizing region on chromosome no. 10 and a high quantity of AT pairs in the centromeric regions. In P. perezi, we found species-specific sequences in metaphase chromosomes and marker structures in lampbrush chromosomes. Pericentromeric RrS1 repeat sequence was present in perezi and ridibundus chromosomes, but the blocks were stronger in ridibundus. Various cytogenetic techniques applied to the P-G system provide genome discrimination between ridibundus and perezi chromosomal sets. They could be used in studies of germ-line cells to explain patterns of clonal gametogenesis in P. grafi and broaden the knowledge about reproductive strategies in hybrid animals.
Factors Affecting Digital Transformation in Logistic Firms

Purpose- The main purpose of this study is to analyse the factor affecting DT in Indian logistic firms. Design/methodology/approach- Present study collects quantitative by distributing the questionnaire to the participant. In addition proposed hypothesis was tested using PLS-algorithm along with bootstrapping method. Findings- Findings confirm that OC, LOR positively influence DT and RTC, EE and CTI does not influence DT. Research limitations/implications- Results discussed in this paper will help firms manager and policy maker to adopt DT in digital economy. Originality/value- No prior study empirically investigates the influence of OC, LOR, RTC, EE and CTI on DT.
Thermodynamic Characterization of the Interaction of Biofunctionalized Gold Nanoclusters with Serum Albumin Using Two- and Three-Dimensional Methods

Fluorescent gold nanoclusters have been successfully used as fluorescent markers for imaging of cells and tissues, and their potential role in drug delivery monitoring is coming to the fore. In addition, the development of biosensors using structure-tunable fluorescent nanoclusters is also a prominent research field. In the case of these sensor applications, the typical goal is the selective identification of, e.g., metal ions, small molecules having neuroactive or antioxidant effects, or proteins. During these application-oriented developments, in general, there is not enough time to systematically examine the interaction between nanoclusters and relevant biomolecules/proteins from a thermodynamic viewpoint. In this way, the primary motivation of this article is to carry out a series of tests to partially fill this scientific gap. Besides the well-known fluorescent probes, the mentioned interactions were investigated using such unique measurement methods as surface plasmon resonance (SPR) and isothermal titration calorimetry (ITC). These two-dimensional (at the solid/liquid interface) and three-dimensional (in the bulk phase) measuring techniques provide a unique opportunity for the thermodynamic characterization of the interaction between different gold nanoclusters containing various surface functionalizing ligands and bovine serum albumin (BSA).
Vaccine Hesitancy in Adolescents: Library Outreach Partnerships to Raise Vaccine Literacy

Abstract Adolescents and their parents have been and continue to be bombarded with an infodemic of credible and nonreliable sources of information about vaccines. Decisions need to be made about getting the new COVID vaccine, a flu shot, HPV vaccine and the shingles vaccine just to name a few. This article attempts to eradicate the infodemic about vaccines and youth’s feelings to get them or be hesitant about them. It will discuss youth hesitancy concerns, parental influence on vaccine decisions and suggest partnerships health sciences librarians can foster to provide quality, pertinent and reliable information for youth and their parents.
Trends in Oxidative Balance Score and Prevalence of Metabolic Dysfunction-Associated Steatotic Liver Disease in the United States: National Health and Nutrition Examination Survey 2001 to 2018

Background: Most studies have primarily focused on assessing the association between diet or exercise patterns and metabolic dysfunction-associated steatotic liver disease (MASLD). This study adopted a more comprehensive approach by introducing the oxidative balance score (OBS) to evaluate the combined effects of diet and lifestyle on the body’s antioxidant ability. Our main objective was to investigate the association between OBS and the burden of MASLD in the United States. Methods: Participants with complete information from 2001 to 2018 were included. In the absence of other definite liver injury factors, the United States fatty liver index (us-FLI) ≥ 30 was used as the diagnostic criterion for MASLD. We first calculated the weighted prevalence for each cycle and stratified it according to demographic and metabolic-related disease characteristics. Subsequently, weighted multiple logistic regression was used to evaluate the relationship between OBS and MASLD. In addition, we explored the body’s inflammatory state and the level of insulin resistance (IR) in mediating OBS and MASLD. Results: From 2001 to 2018, the prevalence of MASLD in the U.S. population as a whole increased from 29.76% to 36.04%, and the rate was higher in people with metabolic-related diseases. Notably, OBS exhibited a negative correlation with MASLD. Participants in the highest tertile of OBS had a significantly lower prevalence of MASLD compared to those in the lowest tertile [OR: 0.72, 95%CI: (0.57, 0.92), p < 0.001]. Moreover, a high OBS is associated with a lower inflammatory state and level of IR. The body’s inflammatory state and IR level mediated the association between OBS and MASLD by 5.2% and 39.7%, respectively (both p < 0.001). Conclusions: In this study, we observed an increasing prevalence of MASLD over the years. A higher OBS was associated with a lower risk of MASLD, especially when OBS ≥ 25. The body’s inflammatory state and IR level mediate the association between OBS and MASLD, but the mechanism needs to be further investigated.
Demography, wild harvest patterns and trade of culturally important species : priorities for management and conservation

ii CHAPTER 1: INTRODUCTION . 7 CHAPTER 2: PLANTS AS NTFPS FROM THE FOREST CANOPIES . 11 Abstract . 12 Introduction . 13 CHAPTER 3: WILD HARVEST PATTERNS AND TRADE . 23 Abstract . 24 Introduction . 25 Materials and Methods . 28 Results . 30 Discussion . 37 CHAPTER 4: DEMOGRAPHY AND HARVEST EFFECTS . 42 Abstract . 43 Introduction . 44 Materials and Methods . 45 Results . 51 Discussion . 60 CHAPTER 5: CONSERVATION RECOMENDATIONS . 63 REFERENCES . 68
Filmmaking and Critical Pedagogy Amongst Youth as Cultural Empowerment in Banyumas, Indonesia

The local film community run by cultural activists typically conducts several film practices, such as film production, distribution, and exhibition independently. In post-New Order Indonesia, the Banyumas subculture has become an alternative site of struggle for producing critical films against mainstream and commercial films. This study questions how Banyumas cultural activists develop critical learning and nurture an awareness-raising process for local students through filmmaking and how Banyumas’ local film production forms a new culture enacting social change. The authors adopt a qualitative approach with multiple case studies to investigate the phenomenon. The data was obtained by conducting in-depth interviews with cultural activists and the vocational/high school students as a filmmaker, observation, and documentation of the films they produced. This study implements Paulo Freire’s idea of critical pedagogy through collaborative filmmaking performed by Banyumas cultural activists and local young students within a specific cultural and outside-classroom setting. Through collaborative filmmaking, the local subjects interrogate the current sites of power and social roles by encouraging dialogue and problem-posing methods. Using visual media, the practice of empowering local cultural identities finds its embodiment in filmmaking as a process and result. As a living cultural expression, films preserve the local culture, redefine the value of humanism, and raise critical awareness about larger social, political, economic, gender, and cultural issues.
Detecting Human Gait Phases and Conditions with Deep Learning

This study presents an innovative, cost-effective approach for estimating human gait patterns utilizing a Deep Learning (DL) model. In particular, a Recurrent Neural Network (RNN) model is used to accurately predict the four phases of gait by acquiring data from a single IMU sensor placed above the participant's ankle. By conducting experiments on two separate databases and analyzing normal and abnormal gait signals, the model achieves high accuracy in detecting gait phases while highlighting differences in phase shapes between normal and abnormal movements. These results indicate that the proposed model provides a promising and affordable substitute for traditional physical or high-tech examinations when evaluating gait stability. Future research could include incorporating additional sensors and assessing more abnormal gait behaviors to enhance the model's predictive power.
USING ANAEROBIC CO-DIGESTION WITH ADDITION OF MUNICIPAL ORGANIC WASTES AND PRE-TREATMENT TO ENHANCE BIOGAS PRODUCTION FROM WASTEWATER TREATMENT PLANT SLUDGE

Biogas produced from the anaerobic digestion of sludge at wastewater treatment plants (WWTP) is categorized as renewable energy. A variety of materials such as municipal wastes, agricultural residues, and industrial effluents can be utilized as potential co-substrates in anaerobic co-digestion for enhancing methane production from wastewater treatment plant sludge. The application is also beneficial for waste treatment and environment protection. This review is intended to introduce and summarize fundamental information about potential organic wastes that can be applied in anaerobic co-digestion, particularly in the process with wastewater treatment plant sludge as primary substrate. The most current literature investigating eligible organic waste resources as co-substrates, analysis of approaches in biogas production from co-digestion, and strategies for the operation of anaerobic co-digesters are introduced and reviewed.
Healing of mandibular critical size bone defects in rats using piezoelectric plates: An In-vivo Study

INTRODUCCTION: "Smart materials" have been introduced as a new concept in bone tissue engineering to improve tissue regeneration and overcome the shortcomings of bone grafts, such as material-related infections, and mechanical failures. Piezoelectric scaffolds are a type of smart material introduced for various biomedical uses such as repair and regeneration of bone tissue. OBJECTIVES: This study aimed to evaluate the effect of piezoelectric plates in the regeneration of bone and healing of the segmental bone defect in the rat mandible in order to compare their effect with titanium plates. Materials and Methods: Forty eight rats weighing 275±30 grams were divided into 2 groups: group I; (titanium group), group II; (PVDF poly(vinylidene fluoride) group). Surgical procedures to place the plates were performed in both groups. After first week twenty four of the rats were euthanized and after eight weeks twenty four the rest of rats were euthanized the mandibles were dissected out and prepared for radiographic examination, light microscopic examination and histomorphometry. RESULTS: Radiographic results showed radio-opacity in the site of the bone defect in both groups Histological results revealed new bone trabeculae in the both groups, however, bone was more dense and mature in the titanium groups. The histomorphometric analysis also showed substantially higher percentage of new bone per field in the titanium groups. CONCLUSIONS: piezoelectric plates could enhance bone healing and be used as a mean of achieving good fixation but still the results were inferior to the results of titanium plates.
Strong photothermoelectric response of the semimetal ZrTe3

Photodetectors based on the photothermoelectric effect (PTE) have garnered significant attention due to their high-speed photoresponse and other notable characteristics. The PTE photodetector possesses inherent advantages in terms of a wide spectral range. Studies have demonstrated that infrared photodetectors based on the photothermoelectric effect are not limited by the operating wavelength. The photothermoelectric infrared photodetectors based on semimetallic ZrTe3 have not yet been reported. We employed first-principles calculations to demonstrate the significant Seebeck coefficient of ZrTe3, providing a crucial foundation for achieving photo-thermoelectric response. Moreover, we fabricated a metal-ZrTe3-metal photothermal infrared photodetector using the dry transfer process. The photodetector achieves a responsivity of up to 45 mA/W at the 1177 nm. Additionally, it demonstrated an ultrafast response time of 316 μs, highlighting the exceptional functionality of semi-metallic ZrTe3 as a detection layer.