Miracle-dz/UniFAR-FTUs huggingface dataset:
Relapsing Cutaneous Multiple Myeloma Responding to Immunochemotherapy: A Rare Case Report

Multiple myeloma (MM) is characterized by the neoplastic proliferation of plasma cells. The diagnosis of this disease is often suspected through a constellation of clinical signs and symptoms of hypercalcemia, renal failure, anemia, and M-spike proteins. It is the second most common hematological malignancy after non-Hodgkin lymphomas. However, cutaneous MM is an extremely rare entity, and it is associated with poor prognosis. It presents as diffuse erythematous rash or violaceous nodules on the skin. Most common sites of involvement are chest, lower extremities and back. It can be triggered by a local extension of the tumor which is the most common way, surgical procedures and hematogenous spread. An 82-year-old African American male was diagnosed with MM since 2008. He underwent autologous peripheral stem cell transplantation (ASCT) twice in 2010 and 2014; and he had a history of multiple chemotherapy regimens in the past. He had violaceus chest nodules, and the biopsy confirmed the diagnosis of cutaneous MM in 2013. The patient was treated with pomalidomide, panobinostat and dexamethasone with a complete response (CR) to treatment. One year later, the patient developed new skin nodules. Repeat biopsy confirmed the diagnosis of MM again. Patient was treated with daratumumab and had CR to treatment without any new M-spike. Cutaneous lesion is an exceedingly rare presentation of MM. It either present as reddish rash or violaceous nodules involving chest, lower extremities and back. It has a poor prognosis and can be rapidly fatal. Our case is unique because our patient responded to the newer chemotherapy, and lesions resolved despite poor prognosis of this condition.
Fixed Dose Combination -its Rationality and Safety

Fixed dose drug combination product is defined as combination of two or more active drugs in a single dosage form. Fixed dose combination product (FDCs) should be formulated in such a way that it should have an advantage over single formulation product in therapeutic effect, safety or compliance. With combination therapy, it is important to model how the drugs act in combination (synergistically, additively, or antagonistically) and how the differing population pharmacokinetics will affect the outcome. It helps to reduce the pill burden in patients with chronic diseases for e.g. in diabetes, hypertension and other cardiovascular disease. Fixed dose combination products are acceptable when the dosage of ingredients meet the requirements of a defined population group.
Impedance Force / Position Control for Planar 3DOF Robot Manipulator by Fuzzy Neural Network Combination

As the demands for more robot's complex tasks were increased, force and torque control had become necessary. When contact forces are present, the performance of the trajectory tracking controller is degraded. Impedance force / position controller is proposed in this paper. The impedance force at the tip is controlled by fuzzy PID controller. PID controller tuned by adaptive linear network is used for trajectory tracking. A combination of fuzzy PID controller and PID controller tuned by neural network is used to generate the required torque at the robot manipulator's joints. The Jacobian matrix is derived for planar 3-DOF to transform the forces into joints' torque. Simulations are presented for robot manipulator with force contact at the tip. The trajectory tracking is improved by using fuzzy PID controller for impedance force of the environment.
Proposed Macro Variables for Analysing International Tertiary Enrolments in Malaysia: A Brief Review

Higher education promises substantial economic returns. Hence, more countries are interested in exporting this commodity to the international market, including Malaysia. Various plans have been drawn up and steps have been taken in realising this dream. In measuring the achievement, monitoring is a must. Analysis on international demand for Malaysian higher education is one of compulsory monitoring measures. Hence, this paper analyses selected literatures in producing a solid empirical basis. Proposed also are two macro variables that are capable in replacing the initial base in this field of study. It is hoped that this paper provides an idea on empirical macro-researches in exploring the international demand for Malaysian higher education.
Acceptability of Yoghurt Prepared from Milk Substituted with Benth Seed (Adenopus breviflorus) Protein Isolate

Protein has been isolated from Adenopus breviflorus seed flour and used as a supplement to the production of yoghurt. The chemical composition of the seed flour and protein isolate was determined using standard methods. The yoghurt so produced was analysed for its pH, total solids, titratable acidity and the sensory qualities evaluated using the nine point Hedonic scale from dislike extremely (1) and like extremely (9). The results obtained from the chemical composition of the seed flour and protein isolates showed that they are good sources of protein (30.44% and 94.14% respectively). There was s significant reduction in the mineral content and antinutrients of the seed flour after protein isolation. The result obtained from the sensory evaluation showed that milk can be substituted for Adenopus breviflorus protein isolate from the production of yoghurt up to 25% level of substitution without affecting the sensory qualities.
SOCIAL NETWORK ANALYSIS ON THE WEB: STATE OF THE AR T, PROBLEMS AND FUTURE DIRECTIONS

Social networks have attracted much attention recen tly. Different studies have been conducted to automatically extract social networks among various kinds of entities from the Web. Social network analysis (SNA) finds its application in man y current business areas. Although much work has been done for extraction and analysis of s ocial networks on the Web, still there are open problems for which solutions are required. In this paper initially we give a brief history of social network analysis. Then, we describe some of the mostly used data sources for social network data on the Web. Afterwards, we give an ove rview of some of the existing methods and algorithms for extracting social networks from the Web. Finally, we conclude with what we shall be addressing in our research.
Effects of habitat loss in the comunity of wild bees.

The habitat loss show a notable impact in some of the structural properties of the plant–flower visitor network. One of the main causes of habitat loss is the deforestation, and besides of these which is not yet known how it can affect bee populations a direct and obvious problem is the reduction of available nesting sites, this is a major driver of bee declines worldwide. Recent declines in bee species, and their importance as ecosystem service providers, have brought bees to the forefront of conservation efforts. However, according to the problem showed, we intented to know more about the correlation of habitat loss in the comunities of wild bees, through the examination of the most relevant bibliography on this subeject.
Quantum Self-organization by h_eff Changing Phase Transitions

The TGD based model for biological self-organization relies on the hierarchy h eff = nh 0 of effective Planck constants labelling dark phases of ordinary particles residing at magnetic flux quanta. This model generalizes and suggests the replacement of non-equilibrium thermodynamics as basis of self-organization with its quantum variant based on dark matter hierarchy. The challenge is to formulate basic thermodynamical notions like work in terms TGD based quantum theory. The basic mechanism would be a phase transition creating dark matter phase as a Bose-Einstein condensate like state with particles having identical conserved quantum numbers. Conservation laws would force the ordinary matter to have opposite total charges. For instance, in the case of work one has momentum or angular momentum as a conserved charge. In the case of charge separation and high Tc superconductivity it would be em charge. Even color charges can correspond to conserved charges in TGD framework allowing scaled variants of strong interaction physics. Basic biological functions involving the notion of work and also the formation of sensory percepts would rely on this mechanism. Also the ZEO based theory of consciousness predicting the change the arrow of time in ordinary state function reduction plays a central role and a model of nerve pulse is discussed as an example.
Exercise training attenuates diabetes-induced cardiac injury through increasing miR-133a and improving pro-apoptosis/anti-apoptosis balance in ovariectomized rats

Objective(s): The useful and effective role of exercise program to prevent cardiac tissue apoptosis and fibrosis in ovariectomized type 2 diabetic (T2DM) rats (OVR.D) is well known. The current study aimed to investigate the simultaneous effects of T2DM and swimming plan on the expression of some apoptotic, anti-apoptotic biomarkers and glycogen changes in the cardiac muscle tissue of ovariectomized (OVR) rats. Materials and Methods: Forty rats were randomly sorted into 4 equal categories; sham, OVR, OVR.D and diabetic ovariectomized with an 8 week of swimming plan (OVR.D.E). Lipid profile and miR-133, Bcl-2, Bax, caspase-3 and caspase-8 levels were evaluated in the cardiac tissue. Results: Ovariectomy significantly (P-value<0.05) increased cholesterol, triglyceride, LDL, Bax, caspase-3, caspase-8 and decreased (P-value<0.05) HDL, miR-133, Bcl-2 in the cardiac tissue and a further reduction in the expression of miR-133, Bcl-2 and an enhancement in Bax, caspase-3 and caspase-8 in OVR.D rats was observed (P-value<0.01). However, exercise training significantly reversed all the measured parameters (P-value<0.05). Also, exercise training improved abnormal tissue structure, fragmentation and irregular form of glycogen granules in the OVR.D. E compared to OVR and OVR.D animals. Conclusion: Exercise training could prevent the cardiac disturbance, enhance the expression of anti-apoptotic markers and decrease apoptotic biomarkers in the hearts of OVR.D animals. Therefore, based on the findings of this study suggested using the exercise’s beneficial effects for prevention of the cardiac cell death in OVR.D animals.
Local knowledge and democracy in fisheries management: a case study of adaptation to the Anthropocene in southeast Louisiana

The onset of the Anthropocene necessitates new forms of environmental planning and management as communities adapt to new ecological realities. Despite the global reach of the Anthropocene, localized adaptation strategies are critical for a successful transition into this new epoch. Within local contexts, inclusive, democratic political processes facilitate complex and effective ecological solutions to social problems resulting from environmental change. Genuine incorporation of local knowledge into the decision-making process is critical to fostering this ecological democracy and building effective adaptation strategies. Coastal systems are important nexus points to investigate the relationship between environmental problems and social processes. Fisheries are a critical piece of coastal systems that sustain local communities and the larger economy. I provide a case study of local adaptation to ecological changes as the State of Louisiana attempts to protect vulnerable communities, infrastructure, and fisheries through coastal planning and management. Louisiana’s fisheries are a critical asset that stand to be significantly impacted by continuing coastal erosion. Like the Anthropocene itself, Louisiana’s coastal erosion crisis is largely the result of human intervention in the biosphere for social and economic purposes. The state’s adaptive response is an ambitious master plan that seeks to rebuild the coast and protect its communities and economic interests. Although the plan is ambitious and generally lauded, I argue that the top-down approach the State of Louisiana uses in setting coastal priorities undercuts the plan’s efficacy by struggling to incorporate local knowledge and establish a trusting relationship with coastal stakeholders. Without a genuinely deliberative process that bridges across scales and knowledge systems, the state will ultimately struggle to draw in local knowledge, inhibiting comanagement of local fisheries and potentially undermining the ecological solutions it aims to achieve.
Increasing the efficiency of water well regeneration with ultrasound by using acoustic transducers consisting of elements in flexural vibration

In this article of principle construction of water wells and their regeneration methods are discussed. Commonly occurring reasons of water well obstruction are described and presented. The regeneration process of water wells using ultrasound is examined in detail along with the benefits of using this method. The regenerating process of ultrasound is possible because of cavitation effect. The process of cavitation is described and illustrated. Methods of generating ultrasound are presented. Implemented examples of actual regeneration systems are also described and presented along with their technical parameters. Possible improvements to increase the efficiency of these regeneration systems are given. This is achieved by using ultrasonic transducers in flexural vibration. The property of flexural vibrations to radiate energy at an angle, depending on the velocity of flexural wave in the operating element of the transducer can be used to significantly increase the effectiveness of the ultrasonic method for well regeneration. Diagrams for composite ultrasonic transducers with transformation of vibrations are given to illustrate the process of transforming longitudinal vibrations into flexural vibrations. The benefits of such transformation of vibrations are explained. Sources of information for various designs of composite acoustic transducers are also presented.
A COMPARATIVE APPROACH OF NEURAL NETWORK AND REGRESSION ANALYSIS IN VERY SHORT-TERM WIND SPEED PREDICTION

The accurate estimation of very short-term wind speed is essential for planning, management, and distribution of wind power produced by any installed wind turbine at a power plant. This study is based on very short-term wind characteristics and meteorological data measured from the wind farm at Bogdanci, in the Former Yugoslav Republic of Macedonia (FYROM) in between May-September 2015. Moreover, the study focuses on the comparative analysis of conventional polynomial based regression analysis and artificial neural network (ANN) methods for very short-term wind speed prediction at the interval of 10 min using four types of wind directions, and three atmospheric parameters. Polynomial regression analysis results in the maximum accuracy (R = 0.71) in the prediction of wind speed rotation mean (WSRM) using the wind direction base mean (WDBM) and temperature. The ANN method achieves the best efficiency (R = 0.97) in the prediction of WSRM using four types of wind directions and three atmospheric parameters. The ANN performs better than the conventional regression analysis in the prediction of each of the target wind speeds.
THE EFFECT OF ASPIRIN ON SERUM VASCULAR ENDOTHELIAL GROWTH FACTOR AND NITRIC OXIDE CONCENTRATION IN HIGH-CHOLESTEROL FED RABBITS

Abstract INTRODUCTION: Hypercholesterolemia is one of the major risk factors for atherosclerosis which is characterized by endothelial dysfunction. This study was designed to investigate the effect of aspirin on serum vascular endothelial growth factor (VEGF) and nitric oxide (NO) concentrations in hypercholesterolemic animals. methods: Sixteen male rabbits were randomly divided into two groups, aspirin-treated and control. Aspirin (10 mg/kg/day) was administered orally using feeding tube. All animals were fed with high-cholesterol diet (1%) during the experiment. After five weeks, blood pressure, serum lipid and lipoprotein profiles, serum VEGF and NO concentrations were measured. results: Aspirin did not change blood pressure. Aspirin significantly decreased serum LDL (1276±72.1 vs. 1505±68.03 mg/dl) and triglyceride (477.5±8.3 vs. 649.1±15.2 mg/dl) (P 0.05). Serum NO concentration was also significantly decreased after five weeks of high-cholesterol diet (control: 5.87±0.33 vs. 8.67±0.68 μmol/lit; aspirin: 5.66±0.33 vs. 8.58±0.60 μmol/lit) (P 0.05). CONCLUSIONS: We conclude that under the conditions of this study, aspirin cannot change serum VEGF and NO concentrations in high-cholesterol fed animals. Keywords: Hypercholesterolemia, nitric oxide, vascular endothelial growth factor, aspirin.
Geotechnical properties of dredged marine sediments from Malaysian waters

This paper describes an experimental evaluation of engineering characteristics of dredged marine soils (DMS) which excavated during the dredging works carried out from Malaysian waters. DMS mainly consists of clays, silts and sands mingled with debris, rocks and organic matter. The samples were retrieved from Kuala Muda (Kedah) and Kuala Perlis. In laboratory works, physical properties of DMS are depends to space, time and land in the watershed. Due to its poor engineering properties, the material was destined for disposal offshore. Dredged marine soils, commonly classified as geo-waste. The parameters examined include particle size distribution, morphology, water content, Atterberg limits, specific gravity and organic content. The DMS from Kuala Perlis Kuala Muda Kedah can be classified as high plasticity of silt (MH) and low plasticity of silt (ML) respectively. Reasonable agreement can be noticed at different locations have different physical properties. Thus, the geo-characterization of DMS is significant in decision making either to be reused or disposed to the designated open waters.
LPR: A Light Puncture Robot for CT and MRI Interventions

In the interventional radiology field, image guided percutaneous interventions are common procedures used for diagnostic or therapeutic purposes. However, even with MR or CT image guidance, the precise insertion of biopsy needles or tumor ablation applicators remains a challenging task. Also, when CT is used to guide interventions, patients and physicians are ex-posed to CT radiations. In this context, puncture robots may be very helpful. They have the potential to work within CT or MRI, (.)
Exercise Behaviour Analysis of Universitas Negeri Semarang Sports Sciences Students

This is descriptive study, was purposed to analyze the level of self-efficacy; factors that affect the processes of change, and the level of decisional balance related to physical activity. Population in this study is consisted of all academic year, the sample size (n=256) was identified according to Kreicie and Morgan, male 73.8% female 26.2%, age 17-23 y.o (19.89±1.316). A set of questionnaires (divided into questions related to demographic profile and question of self-efficacy, processes of change, and decisional balance) was used. Data was analyzed by using The SPSS Version 21. Mostly respondents feel not confident to participate in regular exercise when they are in bad mood, tired, do not have time, bad weather, and on vacation. Self-liberation is the strongest experiential affecting factors to the processes of change related to physical activity, it followed by counter conditioning, reinforcement management, helping relationships, and stimulus control. In other hands dramatic relief is the most important behavioural factor, followed by social liberation, consciousness raising, environmental reevaluation, and self-reevaluation. 81% respondents have good commitment to do physical activity, 19% respondents do not have the commitment. Majority of participants have high commitment to engage physical activity, but their willingness is affected mostly by mood, while their behaviour change affected by self-liberation and
Nonlinear optical properties of pyrrolic organic dyes

Synthesizing materials with enhanced third order nonlinear optical parameters has been of great interest in view of many practical applications. We have developed a series of pyrrolic compounds based on BODIPY chromophores and studied their nonlinear optical properties using the z-scan technique. Results show that the new compound – MeO2BODIPY has a greater nonlinear absorption coefficient compared to a standard pyrrolic dye material such as zinc-phthalocyanine. Keywords—BODIPY, Nonlinear Optical material, z-scan, Nonlinear absorption
Antidiabetic and Antioxidant Activity of Morinda tinctoria roxb Fruits Extract in Streptozotocin-Induced Diabetic Rats

The aim of the study is to analyse the antioxidant effect of oral administration of aqueous extract of Morinda tinctoria (MTR) fresh fruits on blood glucose, haemoglobin, glycosylated haemoglobin, plasma insulin, antioxidant enzymes and lipid peroxidation in liver and kidney to streptozotocin (STZ)-induced diabetic rats. Aqueous extract of Morinda tinctoria (MTR) on blood glucose, haemoglobin, glycosylated haemoglobin, plasma insulin, serum lipid and the levels of lipid peroxides and antioxidant enzymes, such as catalase, superoxide dismutase, glutathione peroxidase and reduced glutathione, were examined in the liver and kidney tissues of control and experimental groups. Oral administration of Morinda tinctoria (MTR) aqueous extract to diabetic rats for 30 days significantly reduced the levels of blood glucose, lipids and lipid peroxidation, but increased the activities of plasma insulin and antioxidant enzymes, like catalase, superoxide dismutase, reduced glutathione and glutathione peroxidase. The Morinda tinctoria (MTR) aqueous extract supplementation is useful in controlling the blood glucose level, improves the plasma insulin, lipid metabolism and is beneficial in preventing diabetic complications from lipid peroxidation and antioxidant systems in experimental diabetic rats; therefore, it could be useful for prevention or early treatment of diabetes mellitus
Adaptive Control for Soft Robot Manipulators with Unknown Loads

Soft compliant robots may greatly improve safety, especially when interacting with humans, over traditional robot structures. However, compliance makes accurate position control difficult, especially when working with unknown loads or as the system dynamics change over time. In this paper, we present a novel method of coupling Model Reference Adaptive Control (MRAC) with Model Predictive Control (MPC) for platforms with antagonistic actuators. We demonstrate its utility on a fully inflatable, pneumatically actuated soft robot manipulator, and compare control performance with and without MRAC when significant weight is attached to the end effector. Specifically, for tests on real soft robot hardware, our adaptive control showed a 50% average reduction in step input tracking error when compared to the performance of the nominal controller.