Miracle-dz/UniFAR-FTUs huggingface dataset:
Aspect Category Classification dengan Pendekatan Machine Learning Menggunakan Dataset Bahasa Indonesia

Ulasan pelanggan merupakan opini terhadap kualitas barang atau jasa yang dirasakan konsumen. Ulasan pelanggan mengandung informasi yang berguna bagi konsumen maupun penyedia barang atau jasa. Ketersediaan ulasan pelanggan dalam jumlah besar di web membutuhkan suatu framework untuk mengekstraksi sentimen secara otomatis. Sebuah ulasan pelangan seringkali mengandung banyak aspek, sehingga Aspect Based Sentiment Analysys (ABSA) harus digunakan untuk mengetahui polaritas masing-masing aspek. Salah satu tugas penting dalam ABSA adalah Aspect Category Detection. Metode machine learning untuk Aspect Category Detection sudah banyak dilakukan pada domain berbahasa Inggris, namun pada domain Bahasa Indonesia masih sedikit. Penelitian ini membandingkan kinerja tiga algoritma machine learning yaitu Naive Bayes (NB), Support Vector Machine (SVM) dan Random Forest (RF) pada ulasan pelanggan berbahasa Indonesia dengan menggunakan Term Frequency–Inverse Document Frequency (TF-IDF) sebagai term weighting. Hasil penelitian menunjukkan bahwa RF berkinerja paling unggul dibandingkan NB dan SVM pada tiga domain yang berbeda yaitu restoran, hotel dan e-commerce dengan nilai F1-Score untuk masing-masing domain yaitu: 84.3%, 85.7%, dan 89,3%.
Chemical composition and antifungal activity of Chelidonium majus extracts – antagonistic action of chelerythrine and sanguinarine against Botrytis cinerea

ABSTRACT This study discusses the similarities and differences between the antifungal activity of Chelidonium majus L. extracts and chelerythrine/sanguinarine, the main alkaloids in these extracts, against the plant pathogenic fungus, Botrytis cinerea. The obtained data show that the Ch. majus L. extracts inhibit the growth of B. cinerea very effectively. The extracts activity is significantly greater than that of chelerythrine/sanguinarine standard solutions alone and it does not always reflect the total content of alkaloids in the extracts. It has been proved that B. cinerea exhibits very diverse resistance to chelerythrine and sanguinarine. The IC50 values for chelerythrine and sanguinarine equal 5.41 mg/mL and 1.76 mg/mL, respectively. In the mixture the antifungal activity of chelerythrine and sanguinarine is antagonistic in the concentration dependent way. Based on the presented data it is not clear, however, which alkaloids present in the Ch, majus extracts at significantly lower concentration levels enhance the activity of chelerythrine and sanguinarine so that the extracts activity is considerably greater than that of both main alkaloids mixtures.
The Prognostic Impact of Tumor Differentiation on Recurrence and Survival after Resection of Hepatocellular Carcinoma Is Dependent on Tumor Size

Introduction: The present study aimed to evaluate the effect of poor differentiation and tumor size on survival outcome after hepatic resection of hepatocellular carcinoma (HCC). Methods: A total of 1,107 patients who underwent initial and curative hepatic resection for HCC without macroscopic vascular invasion participated in the study. Using the multivariable Cox proportional hazards regression model, we evaluated changes in hazard ratios (HRs) for the association between tumor differentiation and survival based on tumor size. Results: In patients with poorly (Por) differentiated HCCs, the adjusted HRs of reduced overall survival (OS), recurrence-free survival (RFS), early RFS, and early extrahepatic RFS were 1.31 (95% confidence interval [CI]; 1.07–1.59), 1.07 (95% CI 0.89–1.28), 1.31 (95% CI 1.06–1.62), and 1.81 (95% CI 1.03–3.17), respectively. Moreover, based on an analysis of the effect modification of tumor differentiation according to tumor size, Por HCC was found to be associated with a reduced OS (p = 0.033). The HRs of Por HCCs sharply increased in patients with tumors measuring up to 5 cm. The adjusted HRs of reduced OS in patients with Por HCCs measuring <2, ≥2 and <5, and ≥5 cm were 1.22 (95% CI 0.69–2.14), 1.33 (95% CI 1.02–1.73), and 1.58 (95% CI 1.04–2.42), respectively. The corresponding adjusted HRs of reduced early RFS were 0.85 (95% CI 0.46–1.57), 1.34 (95% CI 1.01–1.8), and 1.57 (95% CI 1.03–2.39), respectively. The adjusted HRs of reduced early extrahepatic RFS were 1.89 (95% CI 0.83–4.3) in patients with tumors measuring ≥2 and <5 cm and 2.33 (95% CI 0.98–5.54) in those with tumors measuring ≥5 cm. Conclusions: Por HCC measuring ≥2 cm was associated with early recurrence. Hence, it had negative effects on OS. After surgery, patients with Por HCC measuring ≥5 cm should be cautiously monitored for early extrahepatic recurrence. These findings will help physicians devise treatment strategies for patients with HCC.
Nanoparticles mediated cadmium toxicity amelioration in plants

Application of nanoparticles to address various environmental issues; especially heavy metal contaminated soil restoration is of global interest. Indiscriminate usage of phosphate fertilizer and other anthropogenic activities contribute to Cd contamination of soil, resulting in degradation of soil quality and low crop yield. By the virtue of unique physiochemical characteristics, nanoparticles (NPs) are effective enough for heavy metal stress mitigation. This review has focused on Cd uptake, accumulation and toxicity in plants followed by the successful application of different metallic and non metallic NPs for soil Cd decontamination. Positive impact of NPs as plant growth elicitor under Cd stress has been explored here. Various ways of NP application (soil, foliar, hydroponics), uptake, mode of action and effective treatment concentration have been highlighted. We have collected handful information regarding the use of NPs as nanofertilizer and nanopesticides. The negative effects of NPs have not been considered here. More in depth study to be conducted for better illumination on plant - NPs interaction, mobilization mechanism and biological activities. Though this review summarizes few facts among various aspect of NP but can be counted as a supportive documentation for the better use of NPs in environmental protection in future.
(Development of Drowsiness Detection System Using Random Forest Classifier on Electrocardiogram Signals)

Drowsiness is one of the main causes of accidents in traffic, manufacturing industry, and other fields. A system that can detect sleepiness early is important to reduce the number of accidents due to drowsiness. Changes in autonomous nervous activity associated with drowsiness were analyzed using heart rate variability (HRV) obtained from ECG. The Random Forest classifier is known to perform well and is strong against overfitting. In this study, a drowsiness detection system was developed based on electrocardiogram (ECG) signals and Random Forest. The drowsiness detection system was trained using ECG recordings from DROZY database equipped with Karolinska Sleepiness Scale (KSS). The system input features were extracted based on time domain and frequency domain methods. Drowsiness levels were classified based on simplified KSS: drowsy and awake. Random Forest was validated using the Out-of-Bag (OOB) method. The effects of the number of estimators and max features variations were evaluated. The features were sorted based on their importance and combined for the system input with various ECG segmentation lengths. The best performance of the drowsiness detection system was with an average accuracy of 94.61%, sensitivity of 96.67%, and specificity of 91.67% from 40 s segmentations. Intisari—Kantuk merupakan salah satu penyebab utama kecelakaan dalam lalu lintas, industri manufaktur, maupun pada bidang lain. Untuk itu, sistem yang dapat mendeteksi kantuk secara dini merupakan hal yang sangat penting dalam rangka mengurangi angka kecelakaan akibat kantuk. Kantuk dapat dianalisis melalui Heart Rate Variability (HRV) dari sinyal EKG yang menunjukkan perubahan aktivitas saraf otonom. Pengklasifikasi Random Forest diketahui berkinerja sangat baik serta kuat terhadap overfitting. Oleh karena itu, pada makalah ini dikembangkan sistem deteksi kantuk menggunakan sinyal elektrokardiogram (EKG) dan Random Forest. Sistem deteksi kantuk dilatih menggunakan rekaman EKG dari database DROZY yang dilengkapi Karolinska Sleepiness Scale (KSS). Fitur masukan sistem diekstraksi berdasarkan metode ranah waktu dan ranah frekuensi. Tingkat kantuk diklasifikasikan berdasarkan KSS yang disederhanakan menjadi dua kelas, yaitu kantuk dan terjaga. Random Forest divalidasi dengan metode Outof-Bag (OOB). Efek dari variasi jumlah estimator dan max feature terhadap kinerja sistem dievaluasi. Fitur diurutkan berdasarkan kepentingannya dan dikombinasikan sebagai masukan sistem dengan berbagai panjang segmentasi EKG. Kinerja terbaik sistem deteksi kantuk yaitu rata-rata akurasi 94,61%, sensitivitas 96,67%, dan specificity 91,67%, yang diperoleh dengan segmentasi 40 detik. Kata Kunci--Kantuk, Elektrokardiogram, KSS, Random Forest.
Metal-Organic Frameworks for Metal-Ion Batteries: Towards Scalability

Metal-organic frameworks (MOFs), being a family of highly crystalline and porous materials, have attracted particular attention in material science due to their unprecedented chemical and structural tunability. Next to their application in gas adsorption, separation, and storage, MOFs also can be utilized for energy transfer and storage in batteries and supercapacitors. Based on recent studies, this review describes the latest developments about MOFs as structural elements of metal-ion battery with a focus on their industry-oriented and large-scale production.
Comparison of Hamstrings and Quadriceps Femoris Muscle Thickness Increment between Agonist-Antagonist Paired Set and Traditional Set Resistance Training in Untrained Healthy Subjects

Background: Resistance training is an effective way to increase muscle mass. Resistance training with agonist-antagonist paired set method can be an alternative to increase muscle mass within a relatively short training time.Aim: To compare the increase in hamstrings and quadriceps femoris muscle thickness between agonist-antagonist paired set (APS) and traditional set (TS) resistance training in untrained healthy subjects.Material and Methods: This study was an experimental study on 16 untrained healthy men which were randomly assigned to the APS and the TS group. Each group got leg curl and leg extension exercises with equal training volume for 6 weeks. For the APS group, 1 set of leg curls was followed by 1 set of leg extensions, repeated for 3 sets. For the TS group, 3 sets of leg curls were followed by 3 sets of leg extensions. Muscle thickness was compared from pre- to post-training and between the intervention groups using B-mode ultrasound.Results: Muscle thickness of the hamstrings and quadriceps femoris increased significantly from pre- to post-training in both groups (p<0.05). The increase in muscle thickness between the two groups was not significantly different (p> 0.05). Conclusion: Resistance training with the APS method did not give a higher increment of hamstrings and quadriceps femoris muscle thickness compared to the TS method in healthy untrained subjects.
Cross Sectional Study on Assess the Risk of Constipation among Patients Undergoing Abdominal Surgery

Objective: Aim of the study to assess the risk of constipation among patients undergoing abdominal surgery. Constipation is a gastrointestinal tract condition which can lead to abnormal stools, uncomfortable storage and passing with pain and stiffness. Constipation is one of the gastrointestinal system's functional impairments. Various symptoms also include bloating, pushing, abdominal and rectal pain, a feeling of fullness in the rectum or extreme defecation, a lack of full discharge, and stool infrequency (usually less than three times a week). Constipation problem is a condition that is prevalent in abdominal surgery patients in the preoperative and postoperative period due to physiological and psychological factors. While constipation does not endanger life. Bowel frequency is affected by many variables, including dietary factors, emotional state, immobility, prior history of bowel elimination problem, and psychological morbidity after abdominal surgery. Constipation is a common issue that many individuals face. Materials and Methods: The cross sectional research study conducted in AVBR hospital Sawangi Meghe, Wardha district with quantitative research approach. Sample size was 85. Sample was undergoing abdominal surgery patients. Tool was structured questionnaire including Patients characteristics & constipation risk assessment scale. Results: 48.24% of patients undergoing abdominal surgery had no risk of developing constipation, 29.41% had low risk of constipation, 14.12% had moderate and 8.23% of the patients undergoing abdominal surgery had severe risk of constipation. Minimum risk of constipation was 0 and maximum was 17. Mean risk of constipation was 5.14±5.71. Conclusion: This study can help to assess the risk of constipation among undergoing abdominal surgery patients and make them aware about risk of constipation.
Facile construction of crosslinked anion exchange membranes based on fluorenyl-containing polysulfone via click chemistry

A series of fluorenyl-containing polysulfone-based crosslinked anion exchange membranes with high conductivity and excellent stability were fabricated via click chemistry. Azide groups were firstly introduced into the side chains of fluorenyl-containing polysulfone via the quaternization reaction, and then the designed bifunctional crosslinking agents containing alkyne groups with different lengths and polarities (hydrophilicity) were used to construct the crosslinked structure via the click reaction between azides and alkynes. The degree of crosslinking of membranes can be adjusted by controlling the content of the crosslinking agent. The proper crosslinking of AEMs in this work can tighten the internal packing structure of membranes, which could not only enhance the mechanical strength of AEMs but also improve the fuel permeability, alkaline resistance and oxidative stability of membranes. The water uptake and swelling ratio of the crosslinked AEMs were also improved with the increase of polarity and length of crosslinking agents. The hydroxide conductivity of d-CPFSU-1 was not decreased by crosslinking rather it increased to 193.95 mS cm−1 at 80 °C due to the formation of a uniform nano-micro phase separation structure. Our study showed that AEMs with enhanced performance can be achieved by the design of crosslinking within the control of the micro-phase structure.
Procalcitonin as New Proinflammatory Marker in Burn Patients

Procalcitonin (PCT) is a 116 amino acid peptide with a sequence identical to that of prohormone of calcitonin but devoid of hormonal activity. The aim of this study was to determine PCT and it using as a new prognostic pro-inflammatory marker in burn patients and determine the role of PCT level as a mortality indicator in survival and non-survival burn patients. The burn patients in this study were divided into four groups according to the percentage of total body surface area burned carry out on (50) burn patients admitted to the burn unit in West Erbil Emergency Hospital in Erbil governorate and (20) apparently the healthy non-burn individuals who regarded as healthy control group (HC) in this study from February 2012 to April 2012. Out of 50 burnt patients, 20 patients were second sampled to follow-up their immune profile. Regarding PCT there were significant differences (P < 0.05) observed between the mean serum concentration of PCT belong to 18 burn patients of 1st group (G1) (1.24 ± 0.82), 23 patients of 2nd group (G2) (1.52 ± 0.76), six patients of 3rd group (G3) (2. 16 ± 0.11), and three burn patients of 4th group (G4) (6.5 ± 2.87) with mean serum concentration of 18 HC (0.02 ± 0.006). Significant differences obtained when compared to G3 (2.16 ± 0.11) versus G4 (6.5 ± 2.87) using the F-test and t-test. Results show that PCT is a highly productive laboratory parameter involving an easy and rapid beside test for diagnosis and prognosis mortality in burn patients.
Indirect effect of COVID-19 pandemic on maternal and neonatal health care in resource-poor setting

Background: COVID-19 pandemic has been affecting maternal and neonatal health worldwide. Our study was done to find the indirect effect of the pandemic due to associated lockdown, travel restrictions, etc. on maternal and neonatal health in a rural resource-limited area in northeast India.Methods: In this retrospective observational study, mothers of a rural, resource-limited area were enrolled if they delivered in the institution where the study was done. Hospital data regarding maternal mortality and stillbirth rate (SBR) from November 2019 till February 2020 (no-lockdown) was compared with the lockdown period (March 2020 till June 2020). Neonatal data of the no-lockdown and lockdown period were analysed and compared. All inborn and sick neonates delivered outside and admitted in the institution's neonatal unit after delivery (outborn) were included.Results: There was a 33% reduction of institutional delivery rate in Lockdown compared to the no-lockdown period. Outborn admission to the newborn unit was reduced by 41%. Stillbirth and death due to perinatal events increased significantly (relative risk (RR) 1.45, 95% CI: 0.85-2.48) amongst inborn in the lockdown period. During lockdown period maternal mortality increased from 551/100000 to 761/100000 live births (LB) (RR 1.38, 95% CI: 1.21-1.52) and NMR from 26/1000 to 32/1000 LB (RR: 1.23, 95% CI: 0.73-2.04). Conclusions: Significant adverse indirect effect of COVID-19 pandemic is observed on maternal and neonatal health. Ways for avoidance of reversion of gain achieved in NMR and MMR in the last few years in lower and middle-income countries (LMIC) needs to be urgently looked at.
Shear Strength of Reinforced Fibrous-self Compacted Concrete Box Girder using Recycled Concrete Aggregate

 The recycled aggregate concrete mix shows decrease in the cylindrical compressive strength, splitting tensile strength, flexural strength, and elastic modulus of concrete.  The RA has a significant effect on the load capacity of the boxgirder without steel fibres.  The test results showed that it is recommended to use Vf of 1.0% steel fiber with 100 % RA to retain the NA concrete strength for the shear box-girder. Protection of environmental and conservation of natural resources is a fundamental issue in today’s world. In this research, the shear behavior of reinforced concrete box girders with recycled aggregate (RA), steel fiber, and internal diaphragms were investigated. Eleven reinforced concrete box girders with typical longitudinal and transverse reinforcement were tested under two point loading until failure. The RA was prepared by crushing the collected waste of concrete from the laboratory test cylinders and cubes. The experimental variables considered include; RA percent of 50%, 75%, and 100%(replacing from NA), steel fiber with volumetric ratios (Vf) of 0.5%, 1.0%, and 2%, diaphragm numbers (two and three). The test results revealed that the shear strength of the box girders affected by the RA content, the ultimate load was decreased by (32, 25, and 19) % for the (011, 75, and 01) %RA concrete, respectively in compared with the control specimen. In contrast the steel fiber was more effective in strengthening of the RA concrete specimen, for the (Vf) of 0.5%, 1.0%, and 2.0% with non-fibrous 100% RA concrete, the strengthening were (25, 40, and 77) % respectively. Moreover, when 1.0% steel fibers added to the 011%, 75%, and 01%RA concrete respectively, the strengthening were (41 ,45 ,and48 )% compared each with its reference specimen. On the other hand, when two and three diaphragms used, the strengthening for the non-fibrous 100% RA concrete was (6% and 9%) respectively. cracking load, ultimate load, loaddeflection, and concrete surface strain has been taken into consideration in this research. A R T I C L E I N F O Handling editor: Wasan I. Khalil
Predictor: Video Transformer for Future Action Prediction

Future action prediction is an important video understanding task with multiple applications such as autonomous driving, robot human interaction, video surveillance and so on. In this work, we propose an attention-based architecture for future action prediction which models the temporal dependencies for each action class, to accurately predict actions in the future by observing the video from the past. As opposed to previous works which use recurrent neural network models to iteratively predict actions for one future timestep at a time, we propose a novel approach employing a Transformer model to predict actions for multiple future timesteps without
Virial clouds evolution from the last scattering up to the formation of first stars

Noraiz Tahir, Asghar Qadir, Muhammad Sakhi, and Francesco De Paolis Department of Mathematics and Physics “E. De Giorgi”, University of Salento, Via per Arnesano, I-73100 Lecce, Italy INFN, Sezione di Lecce, Via per Arnesano, I-73100 Lecce, Italy Abdus Salam School of Mathematics, G.C. University, Lahore, Pakistan Department of Physics, Quaid-e-Azam University, Islamabad, Pakistan noraiz.tahir@le.infn. it asgharqadir46@gmail.com sakhi.cosmos@gmail.com †††† francesco.depaolis@le.infn. it
From Data to Reduced-Order Models via Generalized Balanced Truncation

This article proposes a data-driven model reduction approach on the basis of noisy data with a known noise model. Firstl, the concept of data reduction is introduced. In particular, we show that the set of reduced-order models obtained by applying a Petrov–Galerkin projection to all systems explaining the data characterized in a large-dimensional quadratic matrix inequality (QMI) can again be characterized in a lower-dimensional QMI. Next, we develop a data-driven generalized balanced truncation method that relies on two steps. First, we provide necessary and sufficient conditions such that systems explaining the data have common generalized Gramians. Second, these common generalized Gramians are used to construct matrices that allow to characterize a class of reduced-order models via generalized balanced truncation in terms of a lower-dimensional QMI by applying the data reduction concept. Additionally, we present alternative procedures to compute a priori and a posteriori upper bounds with respect to the true system generating the data. Finally, the proposed techniques are illustrated by means of application to an example of a system of a cart with a double-pendulum.
Rotating strings and particles in AdS: Holography at weak gauge coupling and without conformal symmetry

We consider gauge/gravity correspondence between maximally supersymmetric Yang-Mills theory in (p+ 1) dimensions and superstring theory on the near-horizon limit of the Dp-brane solution. The string-frame metric is AdSp+1 × S8−p times a Weyl factor, and there is no conformal symmetry except for p = 3. In this paper, we consider states which have angular momenta in the AdS directions. We first show that Gubser, Klebanov and Polyakov’s solution, in which a folded string is rotating near the center of AdS, can be recast into a form which connects two points on the boundary. Transition amplitudes of such strings can be interpreted as gauge theory correlators, whether or not there is conformal symmetry. Then, we consider the case of zero gauge coupling, assuming the string worldsheet consists of discrete bits. We reproduce the free-field correlators from string theory, extending the previous result obtained for a special operator. t-kitamura”at”rikkyo.ac. jp s-miyashita”at”aoni.waseda. jp ysekino”at”la.takushoku-u.ac. jp