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The research was carried out to investigate inventory challenges facing the performance of logistics firms in Kenya, Freight Forwarders Kenya Limited a leading Logistical company in East and Central Africa was used as the case study. The general objective of the study was to investigate the inventory challenges facing logistic firms. The specific objectives were to analyze how inventory cost, lead time, technology and level of inventory affects the organizations performance. The researcher used relationship marketing theory, deterministic inventory model and Economic Order quantity theories in the course of the research to relate how the challenges are affecting the performance of firms. Sampling method was employed in the cause of data collection for analysis a target population of 68 employees of FFK was targeted and a sample size of 58 was used In the course of research. The researcher collected primary data from Freight forwarders Kenya Limited by means of questionnaire’s those who gave their input were Top level managers, Middle level managers, supervisors and low level employees. Secondary data was also utilized from existing literature in analyzing and coming up with conclusions. Data was analyzed using descriptive analysis and inferential analysis using the SPSS Statistics to come up with sound conclusions regarding inventory challenges facing Logistical challenges in Kenya.

In previous research reports the Excel™ outlier replacement protocol called: The Average of the Nearest Neighbor Panel-points: [ANN] was investigated. The authors reported that there seems to be a predilection relative to chance for ANN-protocols to produce a reduction in the standard error of the OLS-two-parameter linear regression [OLSR] model compared to that produced by the Basic or unmodified Panel. This is usually termed a Smoothing-Effect and results in more narrow Confidence or Capture Intervals [CI]—i.e., enhanced precision. There were idiosyncratic anecdotal conjectures offered as to why such a penchant may be created by ANN-protocols. We will consider Dysfunctional or Gaming Considerations: If Smoothing is inherent for ANN-protocols this offers an opportunity to make the decision to apply or eschew the application of the ANN-protocol based upon the intention to engineer the forecasting CIs. This being the case, two research questions are begged: Is there a Panel-length that: (i) sufficiently mollifies the Smoothing- or Provoking-events, or (ii) results in a balance between Smoothing- and Provoking-events either of which would render the gaming decision moot. We offer inferential tests re: (i) the conjecture that the length of the Panel systematically mollifies the ANN-impact on precision, and (ii) the conjecture that the seriousness of an ANN-impact on the OLSR-CIs is symmetrically balanced. We demonstrate inferentially that: Using the Medians of various ANN-protocols tested over various sample-sizes that mollification is likely the state of nature. However, despite mollification there seems likely to be asymmetry in favor of Smoothing. This suggests that gaming must be entertained as an opportunistic possibility. Given this, an organizational solution is suggested to mitigate against gaming the application of the ANN-protocols.

The AWJM is widely used to process the different materials. The material considered for the experimental study is commercial aluminum, mild steel and EN8. The operating parameters, namely pressure, cutting speed and abrasive flow rate are varied during to find its effect on metal removal rate. Attempt is made to establish relationship between operating parameters and material removal rate by using regression analysis & ANOVA. Experimental study is performed to validate the results. It is observed that pressure & abrasive flow rate are the most significant parameters that affect the material removal rate in AWJM.

Branding plays a pivotal role for the success of any Industry. There are certain factors which are vital for effective Branding Strategies. To dig out these factors is the crying need for the survival and success of any industry. The study has been conducted to explore the factors which influence effective branding strategies for the success of Pakistan Apparel industry. I decided to use a questionnaire survey because it is a prevailing method used vastly by social science, management, and marketing researchers. For this study 300 questionnaires were sent to different respondents out of which 261 I received. As fewer professional & staff of Apparel industry has been selected so the results will be inferred based on the respondents of these companies while all other organizations of this industry were not included in the study and since we don’t have government organizations for this industry so government organizations perspective not included in this study. Considering the importance of branding in Apparel Industry of Pakistan, marketing professionals have to understand the factors which influence branding in the Apparel Industry of Pakistan which ultimately not only give fruit full long term successful results for the textile industry, organizations, to the economy but also gives recognition to Pakistani textile products in the international & local Market. The relevant literature will show the factors which influence branding strategies for the long term success of Apparel Industry of Pakistan. This topic is under researched so, the current investigation will contribute to improve the understanding on significant issues.

Table of contents for the month of November 2021

This paper will discuss about Machine Learning technology, its algorithms and its applications. In the new era of automations, business intelligence and the growing datacenters capacity, machine learning is a key component. Through literature review this paper demonstrates this new field and its characteristics. Different algorithms exist for various types of works, making it possible for average business to use the one that suits its needs the best. Machine Learning has come to stay for many years, providing added value to data and predictive mechanisms that will make our world a better place.

Malleus head fixation is a rare but not exceptional pathology. It may be apparently congenital or acquired, and can be associated with stapes fixation. In the acquired secondary process two histological types of malleus head fixation were found: the first corresponded to non-tympanosclerotic bone remodeling and the second to localized tympanosclerosis.

To test the model of stakeholder influence capacity mediator, with the reference to the textile sector, relating the corporate social responsibility independent variable with non- financial performance dependent variable. The sampling approach used was non-probability type convenience sampling. The data was collected from the registered textile mills in APTMA (All Pakistan Textile Mills Association) from Faisalabad region. The questionnaires were filled by the managers working in different divisions of textile mills including Sitara textile mill, AMTEX, Interloop, Masood textile mills, Itehad textile mill, Sarfraz textile mill, Five Star textile mill, Dawood Export (Pvt) Ltd, Nishat textile mill, National textile mill (Pvt) ltd. The questionnaire was based on five point Likert scale. An instrument was supported for internal consistency and reliability. The results concluded that there are significant and positive relationships between corporate social responsibility and stakeholder influence capacity directly, corporate social responsibility and non-financial performance and relationship between corporate social responsibility and non-financial performance with the mediating variable stakeholder influence capacity. Though initially, CSR dimensions are distinguished into philanthropic, economical, ethical, social and environmental. NFP can be measured with respect to customers, employees and suppliers. Stakeholder influence capacity can be evaluated with respect to social and environmental. The future research should apply the proposed model in this study and the results to other service sectors and geographic locations in order to develop its generalizability. In order to manage swift change and worldwide competition in business environments companies should center on the adopting strategies which strategy can affect the stakeholder influence capacity in array to improve the non-financial performance that marks the future indication of survival of the firm. The previous researches did not appraise the relationship of corporate social responsibility and non-financial performance with the mediating variable stakeholder influence capacity of the firms. The present study also demonstrates the different dimensions of the CSR and stakeholder influence capacity with the non-financial performance of the firms.

A novel algorithm for effectively fusing Alzheimer’s effected medical images is proposed in this paper. Fusing is done in the Undecimated Discrete Wavelet Transform (UDWT) domain. Firstly, the RGB images are converted in to NTSC images and then UDWT is applied. In UDWT domain, Low frequency subbands are fused using maximum selection rule and high frequency subbands are fused according to the Modified Spatial Frequency (MSF). Lastly, fused image is obtained by inverse UDWT. The fused NTSC is again converted in to RGB image for fused RGB image. Superiority of the proposed method is presented and justified. Fused image quality is verified with various quality metrics i.e., Peak Signal to Noise Ratio (PSNR), Entropy, Spatial Frequency (SF) etc.,

Adrenocortical tumor is a rare tumor of the adrenal developing depending on the adrenal cortex; most often responsible for an endocrine syndrome. We report a case of a 41-year-old woman who presented with treatment-resistant chorionic low back pain, whose radiological exploration revealed a retroperitoneal mass dependent on the adrenal gland measuring 108 x 84 x 88 mm (APxTxH) metastatic of the liver of segment VII and segment VII, the management of which was surgical in two stages.