Miracle-dz/UniFAR-FTUs huggingface dataset:
Privacy-Preserving Clustering: A New Approach Based on Invariant Order Encryption

1 Abstract —Cloud computing is increasingly used. One main use of cloud computing is the running of a machine learning algorithm. Due to the large amount of data required for these algorithms, they can no longer be run on personal computers. Uploading personal data to the cloud automatically raises the issues of confidentiality of this data. In this paper, we show through a series of experiments that an order-preserving encryption algorithm can be applied to guarantee the confidentiality of the input of two well-known clustering algorithms: K-Means and DBSCAN. We show that K-Means can be modified to be applied over the encrypted data. We also proposed a slight improvement to an order-preserving encryption scheme to ensure that it is randomized, therefore increasing its security level. Finally, after studying the performance of clustering algorithms over encrypted data we show a practical application of this idea, namely the color reduction over an encrypted image.
Analisa Keberlanjutan Pengelolaan Sumber Daya Perikanan di Perairan Selat Madura Jawa Timur

Selat Madura merupakan perairan yang memisahkan antara Pulau Madura dengan daratan Pulau Jawa bagian timur. Sejak tahun 2010 status penangkapan ikan di perairan ini telah melebihi batas lestarinya (over-fishing). Penelitian ini bertujuan untuk mengkaji status keberlanjutan terhadap pengelolaan sumberdaya perikanan dan pengaruhnya terhadap lingkungan serta masyarakat di perairan Selat Madura. Waktu penelitian ini adalah bulan Februari sampai dengan Oktober 2018. Metode Multi Dimensional Scaling (MDS) dengan analisa terhadap 5 dimensi (lingkungan, ekonomi, teknologi, sosial dan kelembagaan) digunakan untuk mengetahui status keberlanjutan pengelolaan perikanan. Data diperoleh dari beberapa sumber, antara lain berasal dari laporan tahunan Dinas Kelautan dan Perikanan Jawa Timur, studi-studi terdahulu yang dilakukan di Selat Madura dan wawancara dengan responden kunci. Hasil penelitian menunjukkan bahwa untuk dimensi ekologi, ekonomi dan teknologi, pengelolaan perikanan di Selat Madura berada pada status kurang berkelanjutan (skor <50). Sementara itu untuk dimensi sosial dan kelembagaan berada pada status cukup berkelanjutan hingga berkelanjutan. Untuk meningkatkan status keberlanjutan pengelolaan sumber daya perikanan di Selat Madura diperlukan upaya rehabilitasi lingkungan pesisir, bantuan subsidi atau modal bagi nelayan dan pemanfaatan teknologi untuk membantu aktivitas penangkapan ikan
A Post-processing Fusion Framework for Deep Learning Models for Crop Disease Detection

The paper proposes a Post-processing Fusion Framework (PFF) for crop disease detection. The framework combines the prediction matrices produced by the multiple deep learning models and increases the overall classification accuracy of the system. The model is tested on the Plant Village dataset covering 14 plants and 26 diseases in 54,305 images, divided into 38 classes. Five deep learning models are used in the classification stage. Further, the PFF is applied to the results of the classification stage. Post-processing enhanced the efficiency of the system and achieved an accuracy of 99.33%. It secures 99.99%, 99.61% and 99.42% scores for top-5 accuracy, Mean Reciprocal Rank and Mean Average Precision values, respectively. Additionally, the classification rate of the approach is less than one second per test image. The high speed and accuracy make the technique highly suitable for real cultivation early warning systems.
A review of Ride-Matching strategies for Ridesourcing and other similar services

ABSTRACT Ridesourcing services have emerged as a popular alternative for commuters in metropolitan areas. There is a significant spatio-temporal variation of demand and supply for such services, which requires efficient ride-matching strategies to ensure optimal allocation of trips to drivers and users. This paper reviews different ride-matching techniques/strategies that highlight the outlook of different stakeholders, such as, drivers, users, and service providers and summarises the impacts of the matching process on the ideologies of the stakeholders. The review found that searching techniques guide the primary stakeholders like riders and drivers, and the assignment techniques ensure trip allotment. We also observed that fleet size is an important attribute to ensure availability as well as the assignment of ridesourcing services in an urban area.
ASSOCIATION BETWEEN FALLING NUMBER AND GRAIN CHARACTERISTICS TO EVALUATE PREHARVEST SPROUTING IN WHEAT

The falling number (FN) is a widely used parameter to evaluate sprouting damage in wheat. Despite its importance, many breeding programs lack facilities to determine the FN routinely. This study was conducted to elucidate the relationship of the falling number with germination percentage, visual sprouting score, hectoliter weight and the grain weight per spike, to improve the selection criteria in the pre-harvest sprouting (PHS) trials. Thirteen genotypes differing in PHS tolerance were evaluated in a rain simulator. The statistical analysis was conducted to understand the relationship of FN with grain characteristics. The path coefficient analysis revealed the highest association of the FN with the percentage of sprouted grains. Also, regression analysis determined that samples with more than 46% of sprouted grains had FN below 200s. The grains with 32 to 46% of germination resulted in FN values between 200 and 250s, and those with 19 to 32% of germination had FN between 250 and 300 s. Only those samples with less than 19% of germination resulted in FN values higher than 300s. The strong association between the germination percentage and the FN allows the selection of promising lines and the elimination of undesirable ones at an early stage of breeding.
Forecast of China’s economic growth during the COVID-19 pandemic: a MIDAS regression analysis

Purpose This study aims to examine the effect of the COVID-19 pandemic in comparison to the global financial crisis (GFC) on the gross domestic product (GDP) growth rate of China. Design/methodology/approach Empirical analyses are conducted through alternative methods such as ordinary least squares, Markov regime switching (MRS) and mixed data sampling (MIDAS) regressions. The flexibility of MIDAS regression enables us to use different variables with quarterly (GDP), monthly (export sales and foreign-exchange reserves) and daily frequencies (foreign exchange rates and Brent oil price). Findings The results indicate that the COVID-19 pandemic has had a considerable negative effect on China’s GDP growth, while the dummy variables used for the GFC are found to be insignificant. Further, the forecast accuracy test statistics exhibited a superior performance from MIDAS regression compared to the alternative models, such as MRS regression analysis. According to the forecast results, the authors expect a recovery in China’s economic growth in the second quarter of 2020. Originality/value This is one of the earliest studies to examine the effect of the COVID-19 pandemic on the Chinese economy, and to compare the impact of COVID-19 with the GFC. The authors provide further evidence regarding the performance of MIDAS regression analysis vs alternative methods. Findings obtained shed light on policymakers, corporations and households to update their consumption, saving and investment decisions in the chaotic environment of this pandemic.
What Can We Learn About Feminism from Web Portals? – Analysing Media Bulletins

Society’s relationship to feminism and feminist values speaks not only about the level of gender equality achieved but also the level of the democracy achieved and readiness to support the equality of those who believe their rights are being violated and feel like they are not full members of that society. Women, to paraphrase Carole Pateman (1988) are still not, nor ever have been, recognised as equal members or citizens of any known democracy because, even though they have a general right to vote, in public spaces of political or economic importance where decisions of crucial social importance are being made, women continue to not be present or underrepresented despite the best efforts of gender mainstreaming. Moreover, women are marginalised in the public sphere (Harp et al., 2016) as well as marginalised and underrepresented in media discourses and practices (Bachmann, Harp & Locke, 2018; Byerly & Ross, 2006). Basically, stereotyping feminism and feminists is inseparable from stereotyping women in general. The new kind of antifeminism differs from the form which appeared in the 1970s and 1980s, despite individual feminist values being incorporated in institutional and social lives, namely “a substitute for feminism” as explained by Angela McRobbie (2009), in the still patriarchal system of economic power and domination, is a new form of the “sexual contract”, promising young women that they will achieve equality through education and employment and by participating in the consumer culture and civil society. What Can We Learn About Feminism from Web Portals? – Analysing Media Bulletins
School Climate and Perceived Academic Performance: Direct or Resilience-Mediated Relationship?

This research was funded by the consolidated research group IT1217-19 of the Basque University System and of the project EDU2017-83949-P of the State Subprogram of Knowledge Generation of the Ministry of Economy, Industry and Competitiveness of Spain. Its first and last authors are beneficiaries of the Pre-doctoral Training Programme for Non-Doctoral Research Staff of the Basque Government’s Department of Education.
Density Functional Theory Calculations of Lithium Adsorption and Insertion to Defect-Free and Defective Graphene

Density functional theory calculations with periodic boundary conditions were performed to clarify the interaction between lithium atoms and a graphene sheet. Three types of graphene sheets—defect-free, containing carbon vacancies VCn (n = 1, 2, 3, 4, 6, 10, 13, 16, and 24), and their hydrogen-terminated carbon vacancies—were examined in this study. We found that a lithium atom inserted into bare carbon vacancy VCn (n ≥ 3) is more stable than that in bulk lithium metal and that it is trapped by the vacancy. On the other hand, a lithium atom inserted into the hydrogen-terminated carbon vacancies is less stable than that in bulk metal. These results suggest that the electrochemical in-plane insertion of lithium ions into the bare carbon vacancies is possible, whereas the insertion into the hydrogen-terminated vacancies is unlikely because the precipitation of lithium metal is energetically more favorable.
An Assist-as-Needed Controller for Passive, Assistant, Active, and Resistive Robot-Aided Rehabilitation Training of the Upper Extremity

Clinical studies have demonstrated that robot-involved therapy can effectively improve the rehabilitation training effect of motor ability and daily behavior ability of subjects with an upper limb motor dysfunction. This paper presents an impedance-based assist-as-needed controller that can be used in robot-aided rehabilitation training for subjects with an upper extremity dysfunction. Then, the controller is implemented on an end-effector upper extremity rehabilitation robot which could assist subjects in performing training with a spatial trajectory. The proposed controller enables subjects’ arms to have motion freedom by building a fault-tolerant region around the rehabilitation trajectory. Subjects could move their upper limb without any assistance within the fault-tolerant region while the robot would provide assistance according to the subjects’ functional ability when deviating from the fault-tolerant region. Besides, we also put forward the stiffness field around the fault-tolerant region to increase the robot’s assistance when subjects’ hand is moving outside the fault-tolerant region. A series of columnar rigid walls would be constructed in the controller according to the subjects’ functional ability, and the stiffness of the wall increases as the motion performance deteriorates. Furthermore, the controller contains five adjustable parameters. The controller would show different performances by adjusting these parameters and satisfy the requirement of robot-aided rehabilitation training at different rehabilitation stages such as passive, assistant, active, and resistant training. Finally, the controller was tested with an elderly female participant with different controller parameters, and experimental results verified the correctness of the controller and its potential ability to satisfy the training requirements at different rehabilitation stages. In the close future, the proposed controller in this work is planned to be applied on more subjects and also patients who have upper limb motor dysfunctions to demonstrate performance of the controller with different parameters.
THE ROLE OF FRAILTY IN PHYSICIANS DECISIONS FOR SEVERE DISABILITY

Results: Cerebrovascular disease and dementia were more prevalent in older age, while epilepsy, cerebral palsy sequela and other neurological diseases were observed at a younger age. A strong correlation was observed between frailty analysis score and Balthazard disability percentage (p <0,001, r = 0,57). Similarly, there was a correlation between the physicians’ severe disability opinion and the Edmonton Frail index score. Scores for cognition, general health status, functional independence, frequency of forgetting to take prescription drugs, or indications of recent weight loss were higher for patients in the severe disability group who also had higher EFS scores. We found that EFS scores >8 correlate significantly with an increased risk of severe disability.
Eﬃcacy of Single Dose versus Multiple Dose of Pre-Operative Antibiotic: Teaching Hospital Based Study

Background: The major crisis in any type of surgery is understood to be Surgical Site Infection (SSI). Although laparoscopic cholecystectomy is a nominally invasive procedure, there is a dominant prevalence of SSI in patients. It is also believed that prophylactic antibiotic has major impact in reducing SSI. Subjects & Methods: Seventy cases were enrolled in this study with knowledgeable consent. The study was carried out over a time period of ten months. The subjects acknowledge for elective laparoscopic cholecystectomy were incorporated in our study. Results: Out of the 70 randomized patients, 35 were allotted in single dose (SD group) while 35 patients were allotted in multiple doses (MD group), who got planned treatments and were then investigated. Of the 70 patients, female patients were 58(82.9%) and males were 12(17.1%). Total 43.62 12.18 years was the mean age of patients having symptomatic cholelithiasis, with 18 years as minimum and 77 years as maximum age. The peak of disease was documented in the age group of 30 to 39 years (28.6%). Conclusion: Utility of single antibiotic dose before anesthesia induction in laparoscopic cholecystectomy was likewise efficient as the use of multiple antibiotics doses in surgical site infection of postoperative periods.
An Experimental Study of the Acetic Acid Steam Reforming Over Co-Based Catalysts

This work focuses on the support effect on the performances of Co-based catalysts for the acetic acid steam reforming. SBA-15, a well ordered hexagonal mesoporous silica structure, and CeO2 have been selected as the supports, with the impact of chromium addition also being investigated. Better acetic acid steam reforming performances have been recorded for CeO2 compared to SBA-15 supported catalysts and, in particular, the 7Co/CeO2 catalyst showed the highest values of acetic acid conversions with enhanced H2 yields below 480°C, in comparison to the other investigated catalytic formulations. In addition, more pronounced coke depositions and acetone concentrations have been obtained with CeO2 supported catalysts, due to the tendency of ceria to catalyse the ketonization reaction. Chromium addition to Co/SBA-15 catalysts led to an enhancement in the activity towards acetic acid steam reforming, while on CeO2 supported catalysts no improvement in the catalysts activity was observed; however, on both SBA-15 and CeO2 supported catalysts, Cr addition reduced the amount of coke deposited on the catalysts surface.
Metode filtrasi dan adsorpsi dengan variasi lama kontak dalam pengolahan limbah cair batik

Latar Belakang : Kegiatan membatik akan menghasilkan limbah cair dengan skala volume yang besar maupun kecil, keasaman pH, COD, TSS yang tinggi. Berdasarkan hasil uji awal laboratorium kadar COD 9456 mg/L, TSS 3740 mg/L, dan pH 4,83 hasil tersebut masih diatas standar baku mutu sehingga perlu dilakukan pengolahan agar tidak menimbulkan dampak terhadap kesehatan dan lingkungan. Tujuan penelitian ini untuk mengetahui penurunan kadar COD, TSS, pH pada limbah cair industri batik sebelum dan sesudah dilakukan pengolahan menggunakan metode filtrasi dan adsorpsi dengan beberapa beda waktu kontak antara 10,20,30,40,50,60 dan 120 menit. Metode : Penelitian ini merupakan penelitian Pre-Eksperimental dengan rancangan One Group Pretest-postest. Analisis data yang digunakan adalah analisis univariat dan bivariat. Hasil : Air limbah sebelum pengolahan mengandung kadar COD sebesar 19294,39 mg/L, kadar TSS sebesar 1440 mg/L, kadar pH sebesar 4,71. Sesudah pengolahan dengan metode filtrasi dan adsorpsi menggunakan media pasir, kerikil, arang aktif, dan zeolit di setiap waktu kontak mampu menurunkan kadar COD air limbah berkisar 72,8% - 98,41%, TSS air limbah berkisar 17,36% - 86,94%, penetralan pH berkisar 4,0% - 63,0%. Kesimpulan : Ada pengaruh yang signifikan antara waktu kontak terhadap penurunan kadar COD, TSS, pH air limbah. Semakin lama waktu kontak air limbah dengan media maka semakin baik proses penurunan kadar COD, TSS, penetralan pH tersebut, dimana waktu kontak yang efektif dalam menurunkan kadar COD, TSS, penetralan pH yaitu pada waktu kontak 120 menit.
Experimental Frog Virus 3 infection using Brazilian strain: amphibians susceptibility

Um numero alarmante de notificacoes globais sobre surtos de mortalidade de anfibios tem sido realizado nos ultimos anos. As doencas emergentes destacam-se como as principais causas potenciais. O ranavirus e uma doenca altamente infecciosa disseminada em todo o mundo, capaz de afetar ate outros animais ectotermicos como peixes e repteis. Uma questao importante em relacao a essa patologia e a falta de sinais clinicos antes de levar a morte. Com o objetivo de compreender melhor a suscetibilidade dos anuros, o presente trabalho analisou a taxa de sobrevivencia de ras-touro (Lithobates catesbeianus), desafiadas com tres doses de uma estirpe brasileira do Frog virus 3 (FV3). A analise de qPCR indicou baixa taxa de infectividade nesses animais, tanto como larvas quanto como adultos. Procurando esclarecer os resultados, foram formuladas as seguintes hipoteses: 1) A quantidade de inoculo aplicada nas ras foi insuficiente para desencadear uma infeccao; 2) Para que o FV3 de sinais clinicos nesta especie, e necessario um cofator; 3) Os animais sofreram infeccao por FV3, mas se recuperaram no decorrer do experimento, e 4) O inoculo utilizado pode ter sido de baixa virulencia. Finalmente, foi discutida a presenca de sinais clinicos reais de ranavirus e levantada a hipotese mais provavel.
Algorithm for Smart Home Power Management with Electric Vehicle and Photovoltaic Panels

In this paper is presented an algorithm for the power management of a smart home with electric vehicle and photovoltaic panels. The case study is performed considering the power demand of the household appliances, the charging/discharging of the electric vehicle, and the power supplied by the photovoltaic panels. The photovoltaic panels have a small installed power and benefit from the support scheme from the government for these types of generation sources, so it is a prosumer. The simulation is performed for a day. Additionally, the cost of power supplied to the consumer is also analyzed.
A Note on Heat Transport with Aspect of Magnetic Dipole and Higher Order Chemical Process for Steady Micropolar Fluid

Heat transfer through non-uniform heat source/sink is the most significant aspect in view of many physical problems. Heat sink/source with heat transfer help to change the energy distribution in fluids, which consequently disturbs the particle deposition rate like as nuclear reactors, semiconductors and electronic devices. Further, also, the vital role of heat transfer is to enhance the thermal conductivity of micro sized solid particles in fluid. This study scrutinizes the heat transport of steady micropolar fluid via non-uniform heat sink/ source and mass transfer is scrutinized through higher order chemical reaction over a stretching surface with variable heat flux. Moreover, the velocity of micropolar fluid is studied by considering aspects of magnetic dipole and Newtonian heating; velocity slip conditions are also examined. The numerical results have been performed by using the well-known numerical shooting technique and comparison is performed with the Matlab built-in solver bvp4c. Geometrically explanation reveals the properties of numerous parameters that are the system parts. The observed outcomes show that the local skin-friction coefficient and Sherwood number values goes up with the increase of chemical reaction rate parameters and Schmidt numbers. Chemical reaction based parameters boosts up the rate of heat as well as mass transfer. The stress of wall couple increased by increasing the Schmidt and chemical parameters. Moreover, the plots of dimensionless parameters have been drawn, as well as some parameter results are tabulated.